Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi
The minfi package is widely used for analyzing Illumina DNA methylation array data. Here we describe modifications to the minfi package required to support the HumanMethylationEPIC ('EPIC') array from Illumina. We discuss methods for the joint analysis and normalization of data from the Hu...
Gespeichert in:
| Veröffentlicht in: | Bioinformatics (Oxford, England) Jg. 33; H. 4; S. 558 - 560 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
England
Oxford University Press
15.02.2017
|
| Schlagworte: | |
| ISSN: | 1367-4803, 1367-4811, 1367-4811 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | The minfi package is widely used for analyzing Illumina DNA methylation array data. Here we describe modifications to the minfi package required to support the HumanMethylationEPIC ('EPIC') array from Illumina. We discuss methods for the joint analysis and normalization of data from the HumanMethylation450 ('450k') and EPIC platforms. We introduce the single-sample Noob ( ssNoob ) method, a normalization procedure suitable for incremental preprocessing of individual methylation arrays and conclude that this method should be used when integrating data from multiple generations of Infinium methylation arrays. We show how to use reference 450k datasets to estimate cell type composition of samples on EPIC arrays. The cumulative effect of these updates is to ensure that minfi provides the tools to best integrate existing and forthcoming Illumina methylation array data.
The minfi package version 1.19.12 or higher is available for all platforms from the Bioconductor project.
khansen@jhsph.edu.
Supplementary data are available at Bioinformatics online. |
|---|---|
| AbstractList | The minfi package is widely used for analyzing Illumina DNA methylation array data. Here we describe modifications to the minfi package required to support the HumanMethylationEPIC ('EPIC') array from Illumina. We discuss methods for the joint analysis and normalization of data from the HumanMethylation450 ('450k') and EPIC platforms. We introduce the single-sample Noob ( ssNoob ) method, a normalization procedure suitable for incremental preprocessing of individual methylation arrays and conclude that this method should be used when integrating data from multiple generations of Infinium methylation arrays. We show how to use reference 450k datasets to estimate cell type composition of samples on EPIC arrays. The cumulative effect of these updates is to ensure that minfi provides the tools to best integrate existing and forthcoming Illumina methylation array data.SummaryThe minfi package is widely used for analyzing Illumina DNA methylation array data. Here we describe modifications to the minfi package required to support the HumanMethylationEPIC ('EPIC') array from Illumina. We discuss methods for the joint analysis and normalization of data from the HumanMethylation450 ('450k') and EPIC platforms. We introduce the single-sample Noob ( ssNoob ) method, a normalization procedure suitable for incremental preprocessing of individual methylation arrays and conclude that this method should be used when integrating data from multiple generations of Infinium methylation arrays. We show how to use reference 450k datasets to estimate cell type composition of samples on EPIC arrays. The cumulative effect of these updates is to ensure that minfi provides the tools to best integrate existing and forthcoming Illumina methylation array data.The minfi package version 1.19.12 or higher is available for all platforms from the Bioconductor project.Availability and ImplementationThe minfi package version 1.19.12 or higher is available for all platforms from the Bioconductor project.khansen@jhsph.edu.Contactkhansen@jhsph.edu.Supplementary data are available at Bioinformatics online.Supplementary informationSupplementary data are available at Bioinformatics online. The minfi package is widely used for analyzing Illumina DNA methylation array data. Here we describe modifications to the minfi package required to support the HumanMethylationEPIC ('EPIC') array from Illumina. We discuss methods for the joint analysis and normalization of data from the HumanMethylation450 ('450k') and EPIC platforms. We introduce the single-sample Noob ( ssNoob ) method, a normalization procedure suitable for incremental preprocessing of individual methylation arrays and conclude that this method should be used when integrating data from multiple generations of Infinium methylation arrays. We show how to use reference 450k datasets to estimate cell type composition of samples on EPIC arrays. The cumulative effect of these updates is to ensure that minfi provides the tools to best integrate existing and forthcoming Illumina methylation array data. The minfi package version 1.19.12 or higher is available for all platforms from the Bioconductor project. khansen@jhsph.edu. Supplementary data are available at Bioinformatics online. |
| Author | Fortin, Jean-Philippe Hansen, Kasper D Triche, Timothy J. |
| AuthorAffiliation | 2 Jane Anne Nohl Division of Hematology, Keck School of Medicine of USC, Los Angeles, CA, USA 3 McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA 1 Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA |
| AuthorAffiliation_xml | – name: 1 Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA – name: 2 Jane Anne Nohl Division of Hematology, Keck School of Medicine of USC, Los Angeles, CA, USA – name: 3 McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA |
| Author_xml | – sequence: 1 givenname: Jean-Philippe surname: Fortin fullname: Fortin, Jean-Philippe – sequence: 2 givenname: Timothy J. surname: Triche fullname: Triche, Timothy J. – sequence: 3 givenname: Kasper D surname: Hansen fullname: Hansen, Kasper D |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28035024$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kUtv1DAUhS1URB_wE0BesmConThOIiSkatTHSEV0AWvrxrmeMXLswXaohl-P22kryoKVX-d8x7rnmBz44JGQt5x95KyvTwcbrDchTpCtTqdDvpU9f0GOeC3bheg4P3jas_qQHKf0gzHWsEa-IodVuWtYJY7IcBNxG4PGlKxff6D-jujs70INnoIfqfUZ13F_DobmDdKVc_NkPdCreQL_BfNm5-4F5zerJYUYYUdvbd7QIjL2NXlpwCV887CekO8X59-WV4vrr5er5dn1Qgsh8qKt2o53TYPjOPZg5NCJWlYSOsMq4EywUSBoZMb0LeLQQd-3rYa27w2OFRvrE_J5z93Ow4SjRp8jOLWNdoK4UwGsev7i7Uatwy_VCNZ1nBXA-wdADD9nTFlNNml0DjyGOanyOyG5rJgs0nd_Zz2FPA62CD7tBTqGlCIapW2-n1GJtk5xpu5qVM9rVPsai7v5x_0Y8H_fH06HrSE |
| CitedBy_id | crossref_primary_10_1089_neu_2020_7283 crossref_primary_10_1038_s41587_023_01934_1 crossref_primary_10_1186_s12916_024_03845_7 crossref_primary_10_1186_s13072_022_00443_w crossref_primary_10_1186_s13148_022_01311_w crossref_primary_10_1093_gigascience_giaf093 crossref_primary_10_1016_j_cgh_2024_02_007 crossref_primary_10_1177_25168657211006159 crossref_primary_10_1007_s00439_023_02609_2 crossref_primary_10_1080_15592294_2022_2146966 crossref_primary_10_1016_j_ajhg_2022_05_010 crossref_primary_10_3390_jpm12010110 crossref_primary_10_1016_j_heliyon_2025_e42581 crossref_primary_10_1038_s41380_024_02652_z crossref_primary_10_1038_s43856_023_00244_6 crossref_primary_10_1186_s12885_019_5411_0 crossref_primary_10_1093_eep_dvac004 crossref_primary_10_1016_j_scitotenv_2023_169757 crossref_primary_10_3389_fgene_2021_796547 crossref_primary_10_1080_15592294_2023_2207959 crossref_primary_10_1007_s00401_025_02866_7 crossref_primary_10_1017_S2040174422000526 crossref_primary_10_1186_s13148_019_0764_4 crossref_primary_10_1016_j_comppsych_2025_152629 crossref_primary_10_1186_s13148_022_01367_8 crossref_primary_10_3389_fphar_2019_00126 crossref_primary_10_1016_j_ajhg_2024_01_012 crossref_primary_10_2337_dc21_1701 crossref_primary_10_2217_epi_2017_0105 crossref_primary_10_1161_JAHA_119_013228 crossref_primary_10_1002_path_6278 crossref_primary_10_3389_fonc_2022_1016958 crossref_primary_10_1097_YPG_0000000000000398 crossref_primary_10_1016_j_csbj_2024_05_015 crossref_primary_10_1093_neuonc_noz207 crossref_primary_10_1186_s13072_019_0321_6 crossref_primary_10_1016_j_forsciint_2019_109944 crossref_primary_10_1038_s41586_020_2975_4 crossref_primary_10_1038_s41588_021_00835_w crossref_primary_10_1080_15592294_2020_1834926 crossref_primary_10_3389_fgene_2019_00391 crossref_primary_10_1038_s41467_020_15174_3 crossref_primary_10_1080_15592294_2019_1614743 crossref_primary_10_1186_s13148_021_01207_1 crossref_primary_10_1016_j_ebiom_2019_07_006 crossref_primary_10_1186_s13148_021_01030_8 crossref_primary_10_1186_s13072_022_00477_0 crossref_primary_10_1016_j_cct_2023_107302 crossref_primary_10_1038_s41398_023_02370_0 crossref_primary_10_1186_s40246_023_00484_6 crossref_primary_10_1038_s41467_023_39591_2 crossref_primary_10_3390_cells14130970 crossref_primary_10_1016_j_jpsychires_2020_06_005 crossref_primary_10_1186_s13148_021_01152_z crossref_primary_10_3389_fcimb_2024_1532417 crossref_primary_10_1016_j_bbi_2023_10_003 crossref_primary_10_3390_cells12081130 crossref_primary_10_1016_j_rmed_2021_106576 crossref_primary_10_1038_s41525_025_00509_0 crossref_primary_10_1080_15592294_2025_2477850 crossref_primary_10_3390_ijms22062790 crossref_primary_10_1080_15592294_2020_1861171 crossref_primary_10_1186_s12885_024_13037_4 crossref_primary_10_1002_ajhb_23488 crossref_primary_10_1002_dev_22464 crossref_primary_10_1007_s00439_024_02659_0 crossref_primary_10_1093_humrep_deaa206 crossref_primary_10_1186_s13073_024_01349_w crossref_primary_10_1002_ana_26923 crossref_primary_10_1158_1940_6207_CAPR_20_0635 crossref_primary_10_3389_fcell_2024_1276288 crossref_primary_10_1186_s12888_024_06043_0 crossref_primary_10_1038_s41388_018_0601_9 crossref_primary_10_1038_s41467_022_33511_6 crossref_primary_10_1111_pcn_12835 crossref_primary_10_1186_s13148_024_01657_3 crossref_primary_10_3390_ijms22020733 crossref_primary_10_1186_s13104_021_05741_2 crossref_primary_10_1159_000533692 crossref_primary_10_3389_fonc_2025_1537087 crossref_primary_10_1038_s41366_020_0646_z crossref_primary_10_3390_ijms22179306 crossref_primary_10_3233_JAD_230093 crossref_primary_10_1002_jcsm_12970 crossref_primary_10_1016_j_jpain_2023_10_018 crossref_primary_10_1371_journal_pone_0222188 crossref_primary_10_1002_2056_4538_70000 crossref_primary_10_3390_ijms241713483 crossref_primary_10_1186_s13148_017_0333_7 crossref_primary_10_1038_s41467_022_30007_1 crossref_primary_10_1002_ppul_25643 crossref_primary_10_1002_gcc_22837 crossref_primary_10_1093_ijnp_pyae045 crossref_primary_10_1017_S204017442300034X crossref_primary_10_1002_jimd_12829 crossref_primary_10_1038_s41531_022_00355_2 crossref_primary_10_2217_epi_2022_0025 crossref_primary_10_1038_s41598_025_99755_6 crossref_primary_10_1007_s11060_022_04220_3 crossref_primary_10_3389_fgene_2020_00091 crossref_primary_10_1186_s40478_019_0851_y crossref_primary_10_1080_15592294_2019_1581589 crossref_primary_10_1016_j_yjmcc_2021_01_011 crossref_primary_10_3389_fgene_2021_810985 crossref_primary_10_1080_15592294_2023_2230670 crossref_primary_10_1038_s41598_022_15058_0 crossref_primary_10_1186_s13148_020_00914_5 crossref_primary_10_1161_HYPERTENSIONAHA_121_17396 crossref_primary_10_3233_JAD_221031 crossref_primary_10_1038_s43588_021_00038_7 crossref_primary_10_1038_s41467_021_25517_3 crossref_primary_10_1111_andr_12911 crossref_primary_10_3389_fimmu_2023_1333705 crossref_primary_10_1038_s41416_023_02550_1 crossref_primary_10_1038_s41598_020_71979_8 crossref_primary_10_1111_nan_12801 crossref_primary_10_1186_s13148_019_0754_6 crossref_primary_10_1016_j_genrep_2024_101927 crossref_primary_10_3390_ijms241813910 crossref_primary_10_1111_acel_14426 crossref_primary_10_1016_j_ebiom_2024_105242 crossref_primary_10_1186_s12979_021_00223_2 crossref_primary_10_1016_j_ebiom_2022_103956 crossref_primary_10_1038_s41586_018_0753_3 crossref_primary_10_1038_s43018_025_00976_5 crossref_primary_10_1111_nan_12937 crossref_primary_10_1007_s10653_022_01217_9 crossref_primary_10_1038_s41398_022_02164_w crossref_primary_10_1097_j_pain_0000000000003104 crossref_primary_10_1080_15592294_2022_2125717 crossref_primary_10_1038_s41467_025_57288_6 crossref_primary_10_1186_s13059_018_1448_7 crossref_primary_10_1038_s41467_020_17269_3 crossref_primary_10_1016_j_neurobiolaging_2020_06_003 crossref_primary_10_1016_j_neuroimage_2017_08_047 crossref_primary_10_1158_1078_0432_CCR_23_3489 crossref_primary_10_1371_journal_pntd_0009874 crossref_primary_10_1038_s41598_024_54957_2 crossref_primary_10_3389_fgene_2023_1258648 crossref_primary_10_1038_s41598_024_82747_3 crossref_primary_10_1038_s43856_025_00739_4 crossref_primary_10_1080_15287394_2025_2540862 crossref_primary_10_1186_s13148_020_00870_0 crossref_primary_10_1016_j_isci_2023_106278 crossref_primary_10_1158_1078_0432_CCR_19_3997 crossref_primary_10_1016_j_envres_2023_116215 crossref_primary_10_1016_j_ajog_2023_09_003 crossref_primary_10_1161_CIRCGEN_122_003772 crossref_primary_10_7554_eLife_86136 crossref_primary_10_1016_j_gene_2021_145900 crossref_primary_10_1186_s12864_021_07721_z crossref_primary_10_1080_09553002_2023_2267667 crossref_primary_10_1111_acel_14402 crossref_primary_10_1016_j_ebiom_2024_105383 crossref_primary_10_1016_j_ejca_2023_03_032 crossref_primary_10_1161_HYPERTENSIONAHA_124_22695 crossref_primary_10_1136_ard_2023_225433 crossref_primary_10_3390_ijms25094850 crossref_primary_10_7554_eLife_80729 crossref_primary_10_1038_s41398_022_02159_7 crossref_primary_10_1186_s40478_022_01470_0 crossref_primary_10_1002_ctm2_851 crossref_primary_10_1080_15592294_2022_2028072 crossref_primary_10_1016_j_heliyon_2024_e33525 crossref_primary_10_1016_j_jaci_2020_07_005 crossref_primary_10_1016_j_placenta_2019_09_006 crossref_primary_10_3390_genes13081300 crossref_primary_10_1038_s41390_025_04381_7 crossref_primary_10_3389_fimmu_2022_875691 crossref_primary_10_1186_s40478_022_01406_8 crossref_primary_10_1186_s43682_022_00014_w crossref_primary_10_1016_j_gene_2018_06_104 crossref_primary_10_1177_02676591251364499 crossref_primary_10_1093_neuonc_noaf076 crossref_primary_10_1371_journal_pone_0326644 crossref_primary_10_3390_cancers16152650 crossref_primary_10_1016_j_envpol_2022_120700 crossref_primary_10_1038_s41467_021_25583_7 crossref_primary_10_1007_s11357_022_00714_0 crossref_primary_10_1016_j_semcancer_2021_02_011 crossref_primary_10_1080_15592294_2025_2539234 crossref_primary_10_1038_s41531_023_00626_6 crossref_primary_10_1007_s10162_024_00961_2 crossref_primary_10_1111_odi_14764 crossref_primary_10_1016_j_forsciint_2024_112247 crossref_primary_10_1186_s13148_024_01794_9 crossref_primary_10_1186_s13072_018_0225_x crossref_primary_10_1186_s12920_018_0466_3 crossref_primary_10_1177_09567976241260247 crossref_primary_10_1038_s41588_023_01520_w crossref_primary_10_1186_s13073_018_0545_2 crossref_primary_10_3389_fgene_2022_793278 crossref_primary_10_1186_s13059_022_02787_8 crossref_primary_10_1186_s13148_023_01437_5 crossref_primary_10_1016_j_scitotenv_2020_140424 crossref_primary_10_1186_s13072_020_00380_6 crossref_primary_10_1186_s40478_020_00952_3 crossref_primary_10_1007_s10815_021_02326_7 crossref_primary_10_1186_s13148_022_01401_9 crossref_primary_10_1080_15592294_2022_2115600 crossref_primary_10_1186_s13073_020_00778_7 crossref_primary_10_3389_fnagi_2018_00311 crossref_primary_10_1002_jcp_30082 crossref_primary_10_1084_jem_20240945 crossref_primary_10_1186_s13148_024_01676_0 crossref_primary_10_1186_s13148_022_01294_8 crossref_primary_10_1111_bpa_12799 crossref_primary_10_3390_ijerph16173141 crossref_primary_10_1038_s12276_020_00493_8 crossref_primary_10_1186_s13148_023_01545_2 crossref_primary_10_1016_j_envint_2018_12_017 crossref_primary_10_1002_cti2_1324 crossref_primary_10_1080_15592294_2019_1603962 crossref_primary_10_1016_j_cell_2019_10_007 crossref_primary_10_3389_fcell_2021_649168 crossref_primary_10_1016_j_jpsychires_2022_10_023 crossref_primary_10_1053_j_gastro_2020_01_044 crossref_primary_10_3390_toxics11100855 crossref_primary_10_1186_s13148_024_01775_y crossref_primary_10_1158_1078_0432_CCR_20_0270 crossref_primary_10_1161_CIRCULATIONAHA_124_073181 crossref_primary_10_1038_s41416_022_01792_9 crossref_primary_10_1186_s12974_025_03355_0 crossref_primary_10_1186_s13148_022_01229_3 crossref_primary_10_1002_hsr2_1747 crossref_primary_10_1007_s00401_025_02894_3 crossref_primary_10_1093_aje_kwae006 crossref_primary_10_1016_j_reprotox_2025_108850 crossref_primary_10_1038_s42003_023_05070_z crossref_primary_10_1371_journal_pone_0253250 crossref_primary_10_1038_s41467_018_05325_y crossref_primary_10_1038_s41431_024_01597_9 crossref_primary_10_1093_gigascience_giaf039 crossref_primary_10_1161_CIRCRESAHA_122_320991 crossref_primary_10_1186_s13148_019_0740_z crossref_primary_10_1158_1078_0432_CCR_18_1199 crossref_primary_10_1213_ANE_0000000000007749 crossref_primary_10_1080_15592294_2021_1928994 crossref_primary_10_1016_j_ygyno_2025_09_004 crossref_primary_10_1136_jitc_2024_010709 crossref_primary_10_1016_j_ijrobp_2022_11_009 crossref_primary_10_1186_s13148_019_0707_0 crossref_primary_10_1038_s42255_020_0231_8 crossref_primary_10_1186_s13073_021_00877_z crossref_primary_10_1186_s13148_023_01424_w crossref_primary_10_1186_s13148_023_01544_3 crossref_primary_10_1038_s41398_019_0446_1 crossref_primary_10_7717_peerj_10762 crossref_primary_10_3390_genes15121510 crossref_primary_10_1093_jn_nxac184 crossref_primary_10_1186_s40246_025_00763_4 crossref_primary_10_1093_gigascience_giad087 crossref_primary_10_2174_0115748936293407240222113019 crossref_primary_10_3390_cancers16152735 crossref_primary_10_1186_s13148_024_01750_7 crossref_primary_10_1038_s12276_021_00612_z crossref_primary_10_1038_s41467_022_32357_2 crossref_primary_10_1038_s41588_018_0274_x crossref_primary_10_1007_s12035_024_04096_6 crossref_primary_10_1038_s41467_020_18388_7 crossref_primary_10_1038_s41467_023_40408_5 crossref_primary_10_1038_s41598_023_39936_3 crossref_primary_10_1111_pai_13890 crossref_primary_10_1186_s13148_021_01054_0 crossref_primary_10_1002_dev_22174 crossref_primary_10_1016_j_freeradbiomed_2025_08_039 crossref_primary_10_1186_s13148_021_01032_6 crossref_primary_10_1161_JAHA_119_015299 crossref_primary_10_1016_j_jpsychires_2024_07_013 crossref_primary_10_1093_nar_gkaf844 crossref_primary_10_1007_s00401_021_02386_0 crossref_primary_10_1016_j_intimp_2024_112376 crossref_primary_10_1002_cam4_3583 crossref_primary_10_3390_ijerph17186775 crossref_primary_10_1186_s13148_023_01459_z crossref_primary_10_1186_s13148_022_01392_7 crossref_primary_10_1007_s11357_022_00560_0 crossref_primary_10_3389_fpubh_2020_00172 crossref_primary_10_1289_EHP11981 crossref_primary_10_1016_j_bbi_2019_06_025 crossref_primary_10_1038_s43018_021_00219_3 crossref_primary_10_1186_s40478_023_01610_0 crossref_primary_10_1038_s41598_018_24240_2 crossref_primary_10_1186_s13148_020_00850_4 crossref_primary_10_1186_s12863_021_00975_2 crossref_primary_10_1080_15592294_2019_1666654 crossref_primary_10_3390_brainsci11111376 crossref_primary_10_1186_s12915_023_01662_7 crossref_primary_10_1136_jitc_2020_000883 crossref_primary_10_1186_s13148_020_00864_y crossref_primary_10_3390_epigenomes9020014 crossref_primary_10_1177_17448069231210648 crossref_primary_10_1186_s12920_019_0585_5 crossref_primary_10_1016_j_xpro_2025_103638 crossref_primary_10_1080_15592294_2019_1629232 crossref_primary_10_3390_cancers16132429 crossref_primary_10_2217_epi_2021_0065 crossref_primary_10_1186_s13059_023_02857_5 crossref_primary_10_1016_j_cell_2021_03_023 crossref_primary_10_1080_20008066_2024_2314913 crossref_primary_10_1016_j_envpol_2025_125737 crossref_primary_10_1186_s13148_021_01112_7 crossref_primary_10_3390_cells11071126 crossref_primary_10_1080_15592294_2020_1827719 crossref_primary_10_1080_15592294_2020_1827717 crossref_primary_10_1093_neuonc_noae172 crossref_primary_10_1111_bjh_16191 crossref_primary_10_1186_s13073_024_01417_1 crossref_primary_10_3390_biom10040557 crossref_primary_10_1038_s41467_020_20716_w crossref_primary_10_1002_cam4_70044 crossref_primary_10_1016_j_celrep_2024_113881 crossref_primary_10_1186_s13148_022_01272_0 crossref_primary_10_1002_ijc_32481 crossref_primary_10_1186_s13148_024_01704_z crossref_primary_10_3390_ijms24076387 crossref_primary_10_1038_s41698_024_00689_5 crossref_primary_10_1186_s13148_019_0705_2 crossref_primary_10_1097_EE9_0000000000000227 crossref_primary_10_3390_biomedicines10123163 crossref_primary_10_1167_iovs_18_26466 crossref_primary_10_1038_s41398_023_02507_1 crossref_primary_10_1002_da_23247 crossref_primary_10_1007_s12035_025_05119_6 crossref_primary_10_1038_s41598_021_98053_1 crossref_primary_10_1111_acel_13934 crossref_primary_10_3389_fendo_2022_895489 crossref_primary_10_1016_j_bbi_2023_06_017 crossref_primary_10_1186_s13073_023_01169_4 crossref_primary_10_1186_s13148_021_01038_0 crossref_primary_10_1159_000517659 crossref_primary_10_1038_s41467_022_28237_4 crossref_primary_10_1002_em_22589 crossref_primary_10_1080_15592294_2023_2293410 crossref_primary_10_1016_j_jaut_2023_103137 crossref_primary_10_1097_QAD_0000000000002805 crossref_primary_10_1038_s41398_019_0589_0 crossref_primary_10_1038_s43587_025_00883_5 crossref_primary_10_1002_cncr_31930 crossref_primary_10_1111_acel_13828 crossref_primary_10_1038_s41598_023_29381_7 crossref_primary_10_1038_s41390_021_01868_x crossref_primary_10_1161_JAHA_122_026934 crossref_primary_10_1016_j_ebiom_2023_104657 crossref_primary_10_1016_j_bbi_2019_03_007 crossref_primary_10_1038_s41398_019_0489_3 crossref_primary_10_1080_17501911_2025_2542116 crossref_primary_10_1073_pnas_2116467119 crossref_primary_10_1038_s41598_019_55453_8 crossref_primary_10_1017_S2040174424000333 crossref_primary_10_1200_PO_24_00779 crossref_primary_10_1016_j_envres_2025_121286 crossref_primary_10_1093_nargab_lqad061 crossref_primary_10_1111_imcb_12628 crossref_primary_10_1038_s41598_024_81486_9 crossref_primary_10_3390_cells14040306 crossref_primary_10_3390_epigenomes9030026 crossref_primary_10_1016_j_ajhg_2024_06_009 crossref_primary_10_1038_s41467_024_50404_y crossref_primary_10_1186_s13148_021_01035_3 crossref_primary_10_1002_humu_24076 crossref_primary_10_1186_s13073_020_00786_7 crossref_primary_10_1182_bloodadvances_2018024059 crossref_primary_10_1186_s13148_023_01530_9 crossref_primary_10_1002_path_5778 crossref_primary_10_1038_s41380_021_01398_2 crossref_primary_10_1186_s13148_021_01156_9 crossref_primary_10_1016_j_envint_2020_106148 crossref_primary_10_1038_s41598_024_62980_6 crossref_primary_10_1186_s12939_023_01967_7 crossref_primary_10_1186_s13148_022_01406_4 crossref_primary_10_1016_j_ebiom_2025_105696 crossref_primary_10_1038_s41390_022_02150_4 crossref_primary_10_1186_s13148_023_01576_9 crossref_primary_10_1017_S2040174421000738 crossref_primary_10_1038_s41592_019_0614_5 crossref_primary_10_1186_s12916_024_03568_9 crossref_primary_10_1016_j_crmeth_2023_100465 crossref_primary_10_1111_bpa_13107 crossref_primary_10_1111_bpa_13228 crossref_primary_10_1093_pnasnexus_pgaf127 crossref_primary_10_1016_j_mad_2022_111676 crossref_primary_10_3390_genes14020296 crossref_primary_10_1016_j_ajhg_2023_09_014 crossref_primary_10_1007_s00401_020_02230_x crossref_primary_10_1186_s13148_020_00843_3 crossref_primary_10_1016_j_ebiom_2023_104550 crossref_primary_10_1016_j_jmoldx_2019_11_005 crossref_primary_10_1038_s41586_025_09374_4 crossref_primary_10_1371_journal_pone_0285123 crossref_primary_10_1503_jpn_240126 crossref_primary_10_1038_s41398_021_01592_4 crossref_primary_10_1016_j_annepidem_2024_03_001 crossref_primary_10_1038_s41597_019_0198_z crossref_primary_10_1186_s13148_023_01598_3 crossref_primary_10_1136_annrheumdis_2022_222656 crossref_primary_10_1089_thy_2023_0074 crossref_primary_10_1007_s40615_024_01915_3 crossref_primary_10_1038_s41398_021_01225_w crossref_primary_10_1186_s13148_024_01758_z crossref_primary_10_1289_EHP6263 crossref_primary_10_1038_s41598_021_84214_9 crossref_primary_10_1016_j_psyneuen_2020_104656 crossref_primary_10_1089_omi_2023_0028 crossref_primary_10_1038_s41398_022_01954_6 crossref_primary_10_1038_s41598_024_60311_3 crossref_primary_10_1080_20008066_2024_2379144 crossref_primary_10_1186_s12967_022_03485_6 crossref_primary_10_1038_s41467_024_48507_7 crossref_primary_10_3390_biom12010002 crossref_primary_10_1002_oby_23589 crossref_primary_10_1080_15592294_2019_1588682 crossref_primary_10_3390_ijms23105768 crossref_primary_10_1111_jth_14741 crossref_primary_10_1017_S0954579422000153 crossref_primary_10_1038_s41467_022_28365_x crossref_primary_10_1038_s41598_025_13175_0 crossref_primary_10_1242_dmm_052150 crossref_primary_10_1093_neuonc_noab044 crossref_primary_10_1002_1878_0261_12157 crossref_primary_10_1038_s41467_023_41300_y crossref_primary_10_1007_s11060_024_04741_z crossref_primary_10_1080_15592294_2020_1762398 crossref_primary_10_1080_15592294_2022_2051861 crossref_primary_10_1093_nar_gkz1214 crossref_primary_10_1002_em_70002 crossref_primary_10_1007_s00401_023_02674_x crossref_primary_10_1093_jnen_nlac074 crossref_primary_10_1093_eep_dvz010 crossref_primary_10_2217_epi_2018_0204 crossref_primary_10_1016_j_bbi_2025_04_031 crossref_primary_10_1371_journal_pone_0207834 crossref_primary_10_1186_s12885_020_06951_w crossref_primary_10_1002_mgg3_70084 crossref_primary_10_3389_fgene_2023_1125217 crossref_primary_10_1080_14616734_2021_1938872 crossref_primary_10_1038_s41588_022_01248_z crossref_primary_10_3390_cancers11111687 crossref_primary_10_1038_s41467_024_46063_8 crossref_primary_10_1080_15592294_2020_1734714 crossref_primary_10_1038_s41598_025_13951_y crossref_primary_10_1186_s12916_023_03003_5 crossref_primary_10_1093_neuonc_noab023 crossref_primary_10_1146_annurev_psych_122414_033653 crossref_primary_10_1016_j_ajpath_2023_02_003 crossref_primary_10_1186_s13148_021_01094_6 crossref_primary_10_1007_s00401_020_02250_7 crossref_primary_10_2217_epi_2022_0098 crossref_primary_10_1016_j_dadr_2022_100077 crossref_primary_10_1186_s13293_024_00654_8 crossref_primary_10_1038_s41467_022_28355_z crossref_primary_10_1289_EHP10174 crossref_primary_10_1038_s41598_023_39313_0 crossref_primary_10_1016_j_bbi_2020_10_023 crossref_primary_10_1186_s13072_025_00616_3 crossref_primary_10_1002_1878_0261_13479 crossref_primary_10_1093_ecco_jcc_jjad129 crossref_primary_10_1155_2022_2698190 crossref_primary_10_1080_15592294_2022_2126087 crossref_primary_10_1002_1878_0261_13573 crossref_primary_10_1111_acel_14174 crossref_primary_10_1289_EHP6345 crossref_primary_10_3389_freae_2024_1362926 crossref_primary_10_1161_CIRCRESAHA_121_318965 crossref_primary_10_3389_fgene_2023_1032683 crossref_primary_10_1080_15592294_2022_2026591 crossref_primary_10_3390_genes13112163 crossref_primary_10_3389_fgene_2019_00801 crossref_primary_10_1093_neuonc_noad027 crossref_primary_10_1186_s13148_024_01790_z crossref_primary_10_1242_jcs_261323 crossref_primary_10_1080_15592294_2024_2305082 crossref_primary_10_1080_15592294_2023_2281153 crossref_primary_10_1186_s13148_021_01200_8 crossref_primary_10_1186_s13148_023_01507_8 crossref_primary_10_1186_s13148_023_01519_4 crossref_primary_10_1111_acel_70149 crossref_primary_10_1016_j_envint_2023_108064 crossref_primary_10_1186_s13148_021_01138_x crossref_primary_10_2217_epi_2021_0006 crossref_primary_10_3390_genes13112150 crossref_primary_10_1186_s13059_023_02953_6 crossref_primary_10_1038_s12276_021_00718_4 crossref_primary_10_1038_s41467_025_62894_5 crossref_primary_10_1093_toxsci_kfab089 crossref_primary_10_1186_s13059_017_1250_y crossref_primary_10_1016_j_medj_2025_100612 crossref_primary_10_1002_elps_202200120 crossref_primary_10_1158_1078_0432_CCR_19_2180 crossref_primary_10_1073_pnas_2013598118 crossref_primary_10_1093_nar_gky691 crossref_primary_10_1007_s00401_023_02561_5 crossref_primary_10_1038_s42003_022_03965_x crossref_primary_10_1186_s13073_020_00794_7 crossref_primary_10_3390_ijms25147681 crossref_primary_10_1186_s13148_023_01461_5 crossref_primary_10_1186_s13148_024_01759_y crossref_primary_10_1177_2516865720938669 crossref_primary_10_1186_s13148_020_00956_9 crossref_primary_10_1093_hmg_ddab339 crossref_primary_10_1186_s13229_020_00402_w crossref_primary_10_3390_cancers15020510 crossref_primary_10_1002_cncr_33641 crossref_primary_10_1186_s12915_022_01343_x crossref_primary_10_1016_j_psyneuen_2023_106058 crossref_primary_10_1016_j_immuni_2021_10_001 crossref_primary_10_1093_bioadv_vbad020 crossref_primary_10_1186_s13148_025_01940_x crossref_primary_10_1158_0008_5472_CAN_20_3445 crossref_primary_10_1038_s41467_024_44755_9 crossref_primary_10_1186_s13059_021_02388_x crossref_primary_10_1002_art_42464 crossref_primary_10_1080_15592294_2019_1661211 crossref_primary_10_1111_jcpp_13782 crossref_primary_10_1016_j_ebiom_2019_08_064 crossref_primary_10_2217_epi_2021_0225 crossref_primary_10_1158_0008_5472_CAN_23_2093 crossref_primary_10_3390_cancers14030667 crossref_primary_10_1136_thorax_2023_220731 crossref_primary_10_1186_s12978_017_0377_3 crossref_primary_10_1016_j_envpol_2023_122561 crossref_primary_10_1038_s41598_022_18232_6 crossref_primary_10_1016_j_ajhg_2021_08_007 crossref_primary_10_1111_1755_0998_13956 crossref_primary_10_1080_15592294_2024_2397297 crossref_primary_10_1038_s41467_025_57760_3 crossref_primary_10_1158_1078_0432_CCR_21_3729 crossref_primary_10_1093_jnen_nlab043 crossref_primary_10_1016_j_mce_2019_110611 crossref_primary_10_1002_mds_29574 crossref_primary_10_1016_j_jaci_2024_01_014 crossref_primary_10_1038_s41398_019_0376_y crossref_primary_10_1186_s12915_020_00910_4 crossref_primary_10_1038_s41598_018_22771_2 crossref_primary_10_1017_thg_2022_32 |
| Cites_doi | 10.12688/f1000research.4680.2 10.1186/gb-2004-5-10-r80 10.1016/j.ygeno.2011.07.007 10.1186/s13059-015-0741-y 10.4161/epi.23924 10.1371/journal.pone.0041361 10.1186/s13059-014-0503-2 10.1186/1471-2105-13-86 10.2217/epi.15.114 10.1080/15592294.2016.1161875 10.1038/nmeth.3252 10.1093/nar/gkt090 10.1186/gb-2014-15-2-r31 10.1186/gb-2012-13-6-r44 10.1093/bioinformatics/btu049 |
| ContentType | Journal Article |
| Copyright | The Author 2016. Published by Oxford University Press. The Author 2016. Published by Oxford University Press. 2016 |
| Copyright_xml | – notice: The Author 2016. Published by Oxford University Press. – notice: The Author 2016. Published by Oxford University Press. 2016 |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 5PM |
| DOI | 10.1093/bioinformatics/btw691 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic PubMed Central (Full Participant titles) |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic MEDLINE |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology |
| EISSN | 1367-4811 |
| EndPage | 560 |
| ExternalDocumentID | PMC5408810 28035024 10_1093_bioinformatics_btw691 |
| Genre | Journal Article |
| GrantInformation_xml | – fundername: NCI NIH HHS grantid: U24 CA180996 – fundername: ; – fundername: ; ; – fundername: ; ; grantid: U24CA180996 |
| GroupedDBID | --- -E4 -~X .2P .DC .I3 0R~ 1TH 23N 2WC 4.4 48X 53G 5GY 5WA 70D AAIJN AAIMJ AAJKP AAJQQ AAKPC AAMDB AAMVS AAOGV AAPQZ AAPXW AAUQX AAVAP AAVLN AAYXX ABEJV ABEUO ABGNP ABIXL ABNKS ABPQP ABPTD ABQLI ABWST ABXVV ABZBJ ACGFS ACIWK ACPRK ACUFI ACUXJ ACYTK ADBBV ADEYI ADEZT ADFTL ADGKP ADGZP ADHKW ADHZD ADMLS ADOCK ADPDF ADRDM ADRTK ADVEK ADYVW ADZTZ ADZXQ AECKG AEGPL AEJOX AEKKA AEKSI AELWJ AEMDU AENEX AENZO AEPUE AETBJ AEWNT AFFZL AFGWE AFIYH AFOFC AFRAH AGINJ AGKEF AGQXC AGSYK AHMBA AHXPO AIJHB AJEEA AJEUX AKHUL AKWXX ALMA_UNASSIGNED_HOLDINGS ALTZX ALUQC AMNDL APIBT APWMN ARIXL ASPBG AVWKF AXUDD AYOIW AZVOD BAWUL BAYMD BHONS BQDIO BQUQU BSWAC BTQHN C45 CDBKE CITATION CS3 CZ4 DAKXR DIK DILTD DU5 D~K EBD EBS EE~ EJD EMOBN F5P F9B FEDTE FHSFR FLIZI FLUFQ FOEOM FQBLK GAUVT GJXCC GROUPED_DOAJ GX1 H13 H5~ HAR HW0 HZ~ IOX J21 JXSIZ KAQDR KOP KQ8 KSI KSN M-Z MK~ ML0 N9A NGC NLBLG NMDNZ NOMLY NU- NVLIB O9- OAWHX ODMLO OJQWA OK1 OVD OVEED P2P PAFKI PEELM PQQKQ Q1. Q5Y R44 RD5 RNS ROL ROX RPM RUSNO RW1 RXO SV3 TEORI TJP TLC TOX TR2 W8F WOQ X7H YAYTL YKOAZ YXANX ZKX ~91 ~KM CGR CUY CVF ECM EIF NPM 7X8 5PM |
| ID | FETCH-LOGICAL-c444t-72781855eddd9af6b843626a8f02a1040d4eace0ff97eeb8a9977ca799fed20d3 |
| ISICitedReferencesCount | 609 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000397264100016&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1367-4803 1367-4811 |
| IngestDate | Thu Aug 21 14:05:12 EDT 2025 Fri Jul 11 09:41:50 EDT 2025 Mon Jul 21 05:28:31 EDT 2025 Tue Nov 18 22:15:42 EST 2025 Sat Nov 29 05:34:06 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 4 |
| Language | English |
| License | http://creativecommons.org/licenses/by/4.0 The Author 2016. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c444t-72781855eddd9af6b843626a8f02a1040d4eace0ff97eeb8a9977ca799fed20d3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| OpenAccessLink | https://pubmed.ncbi.nlm.nih.gov/PMC5408810 |
| PMID | 28035024 |
| PQID | 1854616206 |
| PQPubID | 23479 |
| PageCount | 3 |
| ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_5408810 proquest_miscellaneous_1854616206 pubmed_primary_28035024 crossref_citationtrail_10_1093_bioinformatics_btw691 crossref_primary_10_1093_bioinformatics_btw691 |
| PublicationCentury | 2000 |
| PublicationDate | 2017-02-15 |
| PublicationDateYYYYMMDD | 2017-02-15 |
| PublicationDate_xml | – month: 02 year: 2017 text: 2017-02-15 day: 15 |
| PublicationDecade | 2010 |
| PublicationPlace | England |
| PublicationPlace_xml | – name: England |
| PublicationTitle | Bioinformatics (Oxford, England) |
| PublicationTitleAlternate | Bioinformatics |
| PublicationYear | 2017 |
| Publisher | Oxford University Press |
| Publisher_xml | – name: Oxford University Press |
| References | Bakulski (2023020204420044200_btw691-B2) 2016; 11 Fortin (2023020204420044200_btw691-B5) 2014; 15 Jaffe (2023020204420044200_btw691-B11) 2014; 15 Guintivano (2023020204420044200_btw691-B8) 2013; 8 Triche (2023020204420044200_btw691-B15) 2013; 41 Aryee (2023020204420044200_btw691-B1) 2014; 30 Moran (2023020204420044200_btw691-B13) 2016; 8 Huber (2023020204420044200_btw691-B10) 2015; 12 Houseman (2023020204420044200_btw691-B9) 2012; 13 Fortin (2023020204420044200_btw691-B4) 2015; 16 Reinius (2023020204420044200_btw691-B14) 2012; 7 Fortin (2023020204420044200_btw691-B6) 2014; 3 Bibikova (2023020204420044200_btw691-B3) 2011; 98 Gentleman (2023020204420044200_btw691-B7) 2004; 5 Maksimovic (2023020204420044200_btw691-B12) 2012; 13 |
| References_xml | – volume: 3 start-page: 175. year: 2014 ident: 2023020204420044200_btw691-B6 article-title: shinymethyl: interactive quality control of illumina 450k DNA methylation arrays in R publication-title: F1000Research doi: 10.12688/f1000research.4680.2 – volume: 5 start-page: R80. year: 2004 ident: 2023020204420044200_btw691-B7 article-title: Bioconductor: open software development for computational biology and bioinformatics publication-title: Genome Biol doi: 10.1186/gb-2004-5-10-r80 – volume: 98 start-page: 288 year: 2011 ident: 2023020204420044200_btw691-B3 article-title: High density DNA methylation array with single CpG site resolution publication-title: Genomics doi: 10.1016/j.ygeno.2011.07.007 – volume: 16 start-page: 180. year: 2015 ident: 2023020204420044200_btw691-B4 article-title: Reconstructing A/B compartments as revealed by Hi-C using long-range correlations in epigenetic data publication-title: Genome Biol doi: 10.1186/s13059-015-0741-y – volume: 8 start-page: 290 year: 2013 ident: 2023020204420044200_btw691-B8 article-title: A cell epigenotype specific model for the correction of brain cellular heterogeneity bias and its application to age, brain region and major depression publication-title: Epigenetics doi: 10.4161/epi.23924 – volume: 7 start-page: e41361. year: 2012 ident: 2023020204420044200_btw691-B14 article-title: Differential DNA methylation in purified human blood cells: implications for cell lineage and studies on disease susceptibility publication-title: Plos One doi: 10.1371/journal.pone.0041361 – volume: 15 start-page: 503. year: 2014 ident: 2023020204420044200_btw691-B5 article-title: Functional normalization of 450k methylation array data improves replication in large cancer studies publication-title: Genome Biol doi: 10.1186/s13059-014-0503-2 – volume: 13 start-page: 86. year: 2012 ident: 2023020204420044200_btw691-B9 article-title: DNA methylation arrays as surrogate measures of cell mixture distribution publication-title: BMC Bioinform doi: 10.1186/1471-2105-13-86 – volume: 8 start-page: 389 year: 2016 ident: 2023020204420044200_btw691-B13 article-title: Validation of a DNA methylation microarray for 850,000 CpG sites of the human genome enriched in enhancer sequences publication-title: Epigenomics doi: 10.2217/epi.15.114 – volume: 11 start-page: 354 year: 2016 ident: 2023020204420044200_btw691-B2 article-title: DNA methylation of cord blood cell types: applications for mixed cell birth studies publication-title: Epigenetics doi: 10.1080/15592294.2016.1161875 – volume: 12 start-page: 115 year: 2015 ident: 2023020204420044200_btw691-B10 article-title: Orchestrating high-throughput genomic analysis with bioconductor publication-title: Nat. Methods doi: 10.1038/nmeth.3252 – volume: 41 start-page: e90. year: 2013 ident: 2023020204420044200_btw691-B15 article-title: Low-level processing of Illumina Infinium DNA Methylation BeadArrays publication-title: Nucleic Acids Res doi: 10.1093/nar/gkt090 – volume: 15 start-page: R31. year: 2014 ident: 2023020204420044200_btw691-B11 article-title: Accounting for cellular heterogeneity is critical in epigenome-wide association studies publication-title: Genome Biol doi: 10.1186/gb-2014-15-2-r31 – volume: 13 start-page: R44. year: 2012 ident: 2023020204420044200_btw691-B12 article-title: SWAN: Subset quantile Within-Array Normalization for Illumina Infinium HumanMethylation450 BeadChips publication-title: Genome Biol doi: 10.1186/gb-2012-13-6-r44 – volume: 30 start-page: 1363 year: 2014 ident: 2023020204420044200_btw691-B1 article-title: Minfi: a flexible and comprehensive bioconductor package for the analysis of Infinium DNA methylation microarrays publication-title: Bioinformatics doi: 10.1093/bioinformatics/btu049 |
| SSID | ssj0005056 |
| Score | 2.674758 |
| Snippet | The minfi package is widely used for analyzing Illumina DNA methylation array data. Here we describe modifications to the minfi package required to support the... |
| SourceID | pubmedcentral proquest pubmed crossref |
| SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source |
| StartPage | 558 |
| SubjectTerms | Applications Notes DNA Methylation Epigenomics - methods Humans Oligonucleotide Array Sequence Analysis - methods Sequence Analysis, DNA - methods Software |
| Title | Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/28035024 https://www.proquest.com/docview/1854616206 https://pubmed.ncbi.nlm.nih.gov/PMC5408810 |
| Volume | 33 |
| WOSCitedRecordID | wos000397264100016&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVASL databaseName: Oxford Journals Open Access Collection customDbUrl: eissn: 1367-4811 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0005056 issn: 1367-4803 databaseCode: TOX dateStart: 19850101 isFulltext: true titleUrlDefault: https://academic.oup.com/journals/ providerName: Oxford University Press – providerCode: PRVASL databaseName: Oxford Journals Open Access Collection customDbUrl: eissn: 1367-4811 dateEnd: 20220930 omitProxy: false ssIdentifier: ssj0005056 issn: 1367-4803 databaseCode: TOX dateStart: 19850101 isFulltext: true titleUrlDefault: https://academic.oup.com/journals/ providerName: Oxford University Press |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bb9MwFLbKAIkXxJ1ymYzEG2RLUie2H9G0CQ02-lCkvkVObItKxamybnQ_kv_E8SVpsk3iIvESRc6lTr6vx8fOOd9B6G3GykrDQBzRJC0jImCvTKssEnHOs1glRApXteQzPT1l8zmfjkY_21yYiyU1hm02fPVfoYY2ANumzv4F3N1NoQH2AXTYAuyw_SPgp1an0kX_h3Ilxrqly5BvGdSWvEZEcBZdAKWteLwwwq_qnyjAz0fJHU4BJ9E04tKv2cJJPtW3-xS8qIP6qlN8tvKlmzZiPpQI6S03HNWtbMGxEiby6zmrjl2zxoam9kj07nhvayRNWC76JKy-eQhWDksWMAzaAirZdoJ7cypkzwpPrBg7i73lU_22YJmD6fYaGoGipGeHM68HH4b0zJcsuDZaeCWtcvCabMP6R-5LiPXosvru-GKLeWWxT_u-ItQ9PTkA95cxm_B3O6UZt0Z29mW-jTiKXTHh7unahDI-2R_2Yd_3wApVh58bek3XpkJXI3p7LtLsAbof5jb4g-fkQzRS5hG666udXj5G5YCZ7_GAlxhognu8xLXGwEvc8hLfxEvseIktL7Hj5RP09ehwdvAxCiU-oooQso7Ae7YeY6aklFzovGTE6iMJpuNUJDDASAKegYq15lSpkgkO85VKUM61kmksJ0_RjqmNeo6wlJpQyvNMKk0SUnEJhzX45_mEaLjrGJH2FRZV0L-3ZViWhY_DmBRDEAoPwhjtdZetvADM7y540-JTgKm239-EUfX5WQEPSvIkT2PoyzOPV3fLFugxogMkuxOsDPzwiFl8c3LwgXQv_vnKl-je9l_6Cu2sm3P1Gt2pLtaLs2YX3aJztuuY_AuK3uVj |
| linkProvider | Oxford University Press |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Preprocessing%2C+normalization+and+integration+of+the+Illumina+HumanMethylationEPIC+array+with+minfi&rft.jtitle=Bioinformatics+%28Oxford%2C+England%29&rft.au=Fortin%2C+Jean-Philippe&rft.au=Triche%2C+Timothy+J.&rft.au=Hansen%2C+Kasper+D&rft.date=2017-02-15&rft.pub=Oxford+University+Press&rft.issn=1367-4803&rft.eissn=1367-4811&rft.volume=33&rft.issue=4&rft.spage=558&rft.epage=560&rft_id=info:doi/10.1093%2Fbioinformatics%2Fbtw691&rft_id=info%3Apmid%2F28035024&rft.externalDocID=PMC5408810 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1367-4803&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1367-4803&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1367-4803&client=summon |