TBC: A Clustering Algorithm Based on Prokaryotic Taxonomy
High-throughput DNA sequencing technologies have revolutionized the study of microbial ecology. Massive sequencing of PCR amplicons of the 16S rRNA gene has been widely used to understand the microbial community structure of a variety of environmental samples. The resulting sequencing reads are clus...
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| Published in: | The journal of microbiology Vol. 50; no. 2; pp. 181 - 185 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Heidelberg
The Microbiological Society of Korea
01.04.2012
Springer Nature B.V 한국미생물학회 |
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| ISSN: | 1225-8873, 1976-3794, 1976-3794 |
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| Abstract | High-throughput DNA sequencing technologies have revolutionized the study of microbial ecology. Massive sequencing of PCR amplicons of the 16S rRNA gene has been widely used to understand the microbial community structure of a variety of environmental samples. The resulting sequencing reads are clustered into operational taxonomic units that are then used to calculate various statistical indices that represent the degree of species diversity in a given sample. Several algorithms have been developed to perform this task, but they tend to produce different outcomes. Herein, we propose a novel sequence clustering algorithm, namely Taxonomy-Based Clustering (TBC). This algorithm incorporates the basic concept of prokaryotic taxonomy in which only comparisons to the type strain are made and used to form species while omitting full-scale multiple sequence alignment. The clustering quality of the proposed method was compared with those of MOTHUR, BLASTClust, ESPRIT-Tree, CD-HIT, and UCLUST. A comprehensive comparison using three different experimental datasets produced by pyrosequencing demonstrated that the clustering obtained using TBC is comparable to those obtained using MOTHUR and ESPRIT-Tree and is computationally efficient. The program was written in JAVA and is available from http://sw.ezbiocloud.net/tbc. |
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| AbstractList | High-throughput DNA sequencing technologies have revolutionized the study of microbial ecology. Massive sequencing of PCR amplicons of the 16S rRNA gene has been widely used to understand the microbial community structure of a variety of environmental samples. The resulting sequencing reads are clustered into operational taxonomic units that are then used to calculate various statistical indices that represent the degree of species diversity in a given sample. Several algorithms have been developed to perform this task, but they tend to produce different outcomes. Herein, we propose a novel sequence clustering algorithm, namely Taxonomy-Based Clustering (TBC). This algorithm incorporates the basic concept of prokaryotic taxonomy in which only comparisons to the type strain are made and used to form species while omitting full-scale multiple sequence alignment. The clustering quality of the proposed method was compared with those of MOTHUR, BLASTClust, ESPRIT-Tree, CD-HIT, and UCLUST. A comprehensive comparison using three different experimental datasets produced by pyrosequencing demonstrated that the clustering obtained using TBC is comparable to those obtained using MOTHUR and ESPRIT-Tree and is computationally efficient. The program was written in JAVA and is available from http://sw.ezbiocloud.net/tbc . High-throughput DNA sequencing technologies have revolutionized the study of microbial ecology. Massive sequencing of PCR amplicons of the 16S rRNA gene has been widely used to understand the microbial community structure of a variety of environmental samples. The resulting sequencing reads are clustered into operational taxonomic units that are then used to calculate various statistical indices that represent the degree of species diversity in a given sample. Several algorithms have been developed to perform this task, but they tend to produce different outcomes. Herein, we propose a novel sequence clustering algorithm,namely Taxonomy-Based Clustering (TBC). This algorithm incorporates the basic concept of prokaryotic taxonomy in which only comparisons to the type strain are made and used to form species while omitting full-scale multiple sequence alignment. The clustering quality of the proposed method was compared with those of MOTHUR, BLASTClust, ESPRITTree,CD-HIT, and UCLUST. A comprehensive comparison using three different experimental datasets produced by pyrosequencing demonstrated that the clustering obtained using TBC is comparable to those obtained using MOTHUR and ESPRIT-Tree and is computationally efficient. The program was written in JAVA and is available from http://sw. ezbiocloud.net/tbc. KCI Citation Count: 22 High-throughput DNA sequencing technologies have revolutionized the study of microbial ecology. Massive sequencing of PCR amplicons of the 16S rRNA gene has been widely used to understand the microbial community structure of a variety of environmental samples. The resulting sequencing reads are clustered into operational taxonomic units that are then used to calculate various statistical indices that represent the degree of species diversity in a given sample. Several algorithms have been developed to perform this task, but they tend to produce different outcomes. Herein, we propose a novel sequence clustering algorithm, namely Taxonomy-Based Clustering (TBC). This algorithm incorporates the basic concept of prokaryotic taxonomy in which only comparisons to the type strain are made and used to form species while omitting full-scale multiple sequence alignment. The clustering quality of the proposed method was compared with those of MOTHUR, BLASTClust, ESPRIT-Tree, CD-HIT, and UCLUST. A comprehensive comparison using three different experimental datasets produced by pyrosequencing demonstrated that the clustering obtained using TBC is comparable to those obtained using MOTHUR and ESPRIT-Tree and is computationally efficient. The program was written in JAVA and is available from http://sw.ezbiocloud.net/tbc.High-throughput DNA sequencing technologies have revolutionized the study of microbial ecology. Massive sequencing of PCR amplicons of the 16S rRNA gene has been widely used to understand the microbial community structure of a variety of environmental samples. The resulting sequencing reads are clustered into operational taxonomic units that are then used to calculate various statistical indices that represent the degree of species diversity in a given sample. Several algorithms have been developed to perform this task, but they tend to produce different outcomes. Herein, we propose a novel sequence clustering algorithm, namely Taxonomy-Based Clustering (TBC). This algorithm incorporates the basic concept of prokaryotic taxonomy in which only comparisons to the type strain are made and used to form species while omitting full-scale multiple sequence alignment. The clustering quality of the proposed method was compared with those of MOTHUR, BLASTClust, ESPRIT-Tree, CD-HIT, and UCLUST. A comprehensive comparison using three different experimental datasets produced by pyrosequencing demonstrated that the clustering obtained using TBC is comparable to those obtained using MOTHUR and ESPRIT-Tree and is computationally efficient. The program was written in JAVA and is available from http://sw.ezbiocloud.net/tbc. High-throughput DNA sequencing technologies have revolutionized the study of microbial ecology. Massive sequencing of PCR amplicons of the 16S rRNA gene has been widely used to understand the microbial community structure of a variety of environmental samples. The resulting sequencing reads are clustered into operational taxonomic units that are then used to calculate various statistical indices that represent the degree of species diversity in a given sample. Several algorithms have been developed to perform this task, but they tend to produce different outcomes. Herein, we propose a novel sequence clustering algorithm, namely Taxonomy-Based Clustering (TBC). This algorithm incorporates the basic concept of prokaryotic taxonomy in which only comparisons to the type strain are made and used to form species while omitting full-scale multiple sequence alignment. The clustering quality of the proposed method was compared with those of MOTHUR, BLASTClust, ESPRIT-Tree, CD-HIT, and UCLUST. A comprehensive comparison using three different experimental datasets produced by pyrosequencing demonstrated that the clustering obtained using TBC is comparable to those obtained using MOTHUR and ESPRIT-Tree and is computationally efficient. The program was written in JAVA and is available from http://sw.ezbiocloud.net/tbc . High-throughput DNA sequencing technologies have revolutionized the study of microbial ecology. Massive sequencing of PCR amplicons of the 16S rRNA gene has been widely used to understand the microbial community structure of a variety of environmental samples. The resulting sequencing reads are clustered into operational taxonomic units that are then used to calculate various statistical indices that represent the degree of species diversity in a given sample. Several algorithms have been developed to perform this task, but they tend to produce different outcomes. Herein, we propose a novel sequence clustering algorithm, namely Taxonomy-Based Clustering (TBC). This algorithm incorporates the basic concept of prokaryotic taxonomy in which only comparisons to the type strain are made and used to form species while omitting full-scale multiple sequence alignment. The clustering quality of the proposed method was compared with those of MOTHUR, BLASTClust, ESPRIT-Tree, CD-HIT, and UCLUST. A comprehensive comparison using three different experimental datasets produced by pyrosequencing demonstrated that the clustering obtained using TBC is comparable to those obtained using MOTHUR and ESPRIT-Tree and is computationally efficient. The program was written in JAVA and is available from http://sw.ezbiocloud.net/tbc.[PUBLICATION ABSTRACT] |
| Author | Lee, J.H., Seoul National University, Seoul, Republic of Korea Jeon, Y.S., Seoul National University, Seoul, Republic of Korea Chun, J.S., Seoul National University, Seoul, Republic of Korea Won, S.H., Chung-Ang University, Seoul, Republic of Korea Yi, H.N., Seoul National University, Seoul, Republic of Korea |
| Author_xml | – sequence: 1 fullname: Lee, J.H., Seoul National University, Seoul, Republic of Korea – sequence: 2 fullname: Yi, H.N., Seoul National University, Seoul, Republic of Korea – sequence: 3 fullname: Jeon, Y.S., Seoul National University, Seoul, Republic of Korea – sequence: 4 fullname: Won, S.H., Chung-Ang University, Seoul, Republic of Korea – sequence: 5 fullname: Chun, J.S., Seoul National University, Seoul, Republic of Korea |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/22538644$$D View this record in MEDLINE/PubMed https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART001653494$$DAccess content in National Research Foundation of Korea (NRF) |
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| CitedBy_id | crossref_primary_10_1017_S0954102012000806 crossref_primary_10_1111_1462_2920_12287 crossref_primary_10_1093_sysbio_syt011 crossref_primary_10_1007_s12275_012_2655_7 crossref_primary_10_1371_journal_pone_0137401 crossref_primary_10_3390_coatings11070845 crossref_primary_10_1371_journal_pone_0062623 crossref_primary_10_3389_fnut_2018_00023 crossref_primary_10_1109_TCBB_2016_2535326 crossref_primary_10_1128_CMR_00049_14 crossref_primary_10_1007_s11356_013_2366_6 crossref_primary_10_1007_s00300_014_1467_0 crossref_primary_10_1371_journal_pone_0126960 crossref_primary_10_1111_jeu_12159 |
| Cites_doi | 10.1093/biomet/80.1.193 10.1093/bioinformatics/17.3.282 10.1373/clinchem.2008.107565 10.1093/nar/gkh340 10.1186/1471-2180-10-101 10.1371/journal.pone.0003375 10.1128/AEM.01541-09 10.1093/bioinformatics/btl556 10.1186/1471-2164-11-488 10.1093/bioinformatics/btq461 10.1099/00207713-37-4-463 10.1093/bioinformatics/btl158 10.1101/gr.085464.108 10.1038/nrg2626 10.2174/092986610791190255 10.2307/1934145 10.1093/nar/22.22.4673 10.1016/0022-2836(86)90252-4 10.1093/nar/25.17.3389 10.1089/cmb.2007.R005 10.1093/protein/15.8.643 10.1080/01621459.1992.10475194 10.1093/nar/gkr349 |
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| Keywords | OTU clustering algorithm metagenome TBC MOTHUR ESPRIT-Tree UCLUST pyrosequencing BLASTClust CD-HIT |
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| References | Myers, Miller (CR20) 1988; 4 Li, Jaroszewski, Godzik (CR15) 2001; 17 Chun, Kim, Lee, Choi (CR8) 2010; 10 Wayne, Brenner, Colwell, Grimont, Kandler, Krichevsky, Moore, Moore, Murray, Stackebrandt (CR25) 1987; 37 Chao, Ma, Yang (CR7) 1993; 80 Petrosino, Highlander, Luna, Gibbs, Versalovic (CR21) 2009; 55 Bacon, Anderson (CR2) 1986; 191 Metzker (CR19) 2010; 11 Thompson, Higgins, Gibson (CR24) 1994; 22 Cameron, Bernstein, Williams (CR4) 2007; 14 Schloss, Westcott, Ryabin, Hall, Hartmann, Hollister, Lesniewski, Oakley, Parks, Robinson (CR23) 2009; 75 CR3 Edgar (CR10) 2010; 26 Chao (CR5) 1984; 11 Chao, Lee (CR6) 1992; 87 Hurlbert (CR12) 1971; 52 Retief (CR22) 2000; 132 Li, Godzik (CR14) 2006; 22 Ling, Kong, Liu, Zhu, Chen, Wang, Li, Nelson, Xia, Xiang (CR18) 2010; 11 Kuenne, Ghai, Chakraborty, Hain (CR13) 2007; 23 Li, Jaroszewski, Godzik (CR16) 2002; 15 Li, Wooley, Godzik (CR17) 2008; 3 Altschul, Madden, Schaffer, Zhang, Zhang, Miller, Lipman (CR1) 1997; 25 Hamady, Knight (CR11) 2009; 19 Yang, Zhu, Tang, Zhao (CR26) 2009; 17 Edgar (CR9) 2004; 32 J.D. Retief (1214_CR22) 2000; 132 W. Li (1214_CR17) 2008; 3 C.T. Kuenne (1214_CR13) 2007; 23 M. Hamady (1214_CR11) 2009; 19 M. Cameron (1214_CR4) 2007; 14 S.H. Hurlbert (1214_CR12) 1971; 52 L.G. Wayne (1214_CR25) 1987; 37 A. Chao (1214_CR5) 1984; 11 J.D. Thompson (1214_CR24) 1994; 22 J.F. Petrosino (1214_CR21) 2009; 55 W. Li (1214_CR14) 2006; 22 P.D. Schloss (1214_CR23) 2009; 75 R.C. Edgar (1214_CR9) 2004; 32 A.L. Chao (1214_CR6) 1992; 87 A.M. Chao (1214_CR7) 1993; 80 S.F. Altschul (1214_CR1) 1997; 25 1214_CR3 W. Li (1214_CR16) 2002; 15 J. Chun (1214_CR8) 2010; 10 F. Yang (1214_CR26) 2009; 17 M.L. Metzker (1214_CR19) 2010; 11 Z. Ling (1214_CR18) 2010; 11 E.W. Myers (1214_CR20) 1988; 4 W. Li (1214_CR15) 2001; 17 D.J. Bacon (1214_CR2) 1986; 191 R.C. Edgar (1214_CR10) 2010; 26 11294794 - Bioinformatics. 2001 Mar;17(3):282-3 20709691 - Bioinformatics. 2010 Oct 1;26(19):2460-1 18846219 - PLoS One. 2008;3(10):e3375 17077098 - Bioinformatics. 2007 Jan 1;23(1):125-6 15034147 - Nucleic Acids Res. 2004 Mar 19;32(5):1792-7 19801464 - Appl Environ Microbiol. 2009 Dec;75(23):7537-41 9254694 - Nucleic Acids Res. 1997 Sep 1;25(17):3389-402 19264858 - Clin Chem. 2009 May;55(5):856-66 10547839 - Methods Mol Biol. 2000;132:243-58 3382986 - Comput Appl Biosci. 1988 Mar;4(1):11-7 12364578 - Protein Eng. 2002 Aug;15(8):643-9 16731699 - Bioinformatics. 2006 Jul 1;22(13):1658-9 3806669 - J Mol Biol. 1986 Sep 20;191(2):153-61 19383763 - Genome Res. 2009 Jul;19(7):1141-52 20370919 - BMC Microbiol. 2010 Apr 06;10:101 19997069 - Nat Rev Genet. 2010 Jan;11(1):31-46 28973811 - Ecology. 1971 Jul;52(4):577-586 20819230 - BMC Genomics. 2010 Sep 07;11:488 21596775 - Nucleic Acids Res. 2011 Aug;39(14):e95 17683263 - J Comput Biol. 2007 Jun;14(5):594-614 19594428 - Protein Pept Lett. 2010 Jun;17(6):681-9 7984417 - Nucleic Acids Res. 1994 Nov 11;22(22):4673-80 |
| References_xml | – volume: 80 start-page: 193 year: 1993 end-page: 201 ident: CR7 article-title: Stopping rules and estimation for recapture debugging with unequal failure rates publication-title: Biometrika doi: 10.1093/biomet/80.1.193 – volume: 17 start-page: 282 year: 2001 end-page: 283 ident: CR15 article-title: Clustering of highly homologous sequences to reduce the size of large protein databases publication-title: Bioinformatics doi: 10.1093/bioinformatics/17.3.282 – volume: 55 start-page: 856 year: 2009 end-page: 866 ident: CR21 article-title: Metagenomic pyrosequencing and microbial identification publication-title: Clin. Chem. doi: 10.1373/clinchem.2008.107565 – volume: 132 start-page: 243 year: 2000 end-page: 258 ident: CR22 article-title: Phylogenetic analysis using PHYLIP publication-title: Methods Mol. Biol. – volume: 32 start-page: 1792 year: 2004 end-page: 1797 ident: CR9 article-title: MUSCLE: multiple sequence alignment with high accuracy and high throughput publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkh340 – volume: 10 start-page: 101 year: 2010 ident: CR8 article-title: The analysis of oral microbial communities of wild-type and toll-like receptor 2-deficient mice using a 454 GS FLX Titanium pyrosequencer publication-title: BMC Microbiol. doi: 10.1186/1471-2180-10-101 – volume: 3 start-page: e3375 year: 2008 ident: CR17 article-title: Probing metagenomics by rapid cluster analysis of very large datasets publication-title: PLoS One doi: 10.1371/journal.pone.0003375 – volume: 11 start-page: 265 year: 1984 end-page: 270 ident: CR5 article-title: Non-parametric estimation of the number of classes in a population publication-title: Scand. J. Stat. – volume: 75 start-page: 7537 year: 2009 end-page: 7541 ident: CR23 article-title: Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities publication-title: Appl. Environ. Microbiol. doi: 10.1128/AEM.01541-09 – volume: 23 start-page: 125 year: 2007 end-page: 126 ident: CR13 article-title: GECO — linear visualization for comparative genomics publication-title: Bioinformatics doi: 10.1093/bioinformatics/btl556 – volume: 87 start-page: 210 year: 1992 end-page: 217 ident: CR6 article-title: Estimating the number of classes via sample coverage publication-title: J. Am. Stat. Assoc. – volume: 11 start-page: 488 year: 2010 ident: CR18 article-title: Molecular analysis of the diversity of vaginal microbiota associated with bacterial vaginosis publication-title: BMC Genomics doi: 10.1186/1471-2164-11-488 – volume: 26 start-page: 2460 year: 2010 end-page: 2461 ident: CR10 article-title: Search and clustering orders of magnitude faster than BLAST publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq461 – ident: CR3 – volume: 37 start-page: 463 year: 1987 end-page: 464 ident: CR25 article-title: Report of the c committee on reconciliation of approaches to bacterial systematics publication-title: Int. J. Syst. Bacteriol. doi: 10.1099/00207713-37-4-463 – volume: 22 start-page: 1658 year: 2006 end-page: 1659 ident: CR14 article-title: Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences publication-title: Bioinformatics doi: 10.1093/bioinformatics/btl158 – volume: 19 start-page: 1141 year: 2009 end-page: 1152 ident: CR11 article-title: Microbial community profiling for human microbiome projects: Tools, techniques, and challenges publication-title: Genome Res. doi: 10.1101/gr.085464.108 – volume: 11 start-page: 31 year: 2010 end-page: 46 ident: CR19 article-title: Sequencing technologies — the next generation publication-title: Nat. Rev. Genet. doi: 10.1038/nrg2626 – volume: 17 start-page: 681 year: 2009 end-page: 689 ident: CR26 article-title: Using affinity propagation combined post-processing to cluster protein sequences publication-title: Protein Pept. Lett. doi: 10.2174/092986610791190255 – volume: 52 start-page: 577 year: 1971 end-page: 586 ident: CR12 article-title: The non-concept of species diversity: a critique and alternative parameters publication-title: Ecology doi: 10.2307/1934145 – volume: 22 start-page: 4673 year: 1994 end-page: 4680 ident: CR24 article-title: CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice publication-title: Nucleic Acids Res. doi: 10.1093/nar/22.22.4673 – volume: 191 start-page: 153 year: 1986 end-page: 161 ident: CR2 article-title: Multiple sequence alignment publication-title: J. Mol. Biol. doi: 10.1016/0022-2836(86)90252-4 – volume: 25 start-page: 3389 year: 1997 end-page: 3402 ident: CR1 article-title: Gapped BLAST and PSI-BLAST: a new generation of protein database search programs publication-title: Nucleic Acids Res. doi: 10.1093/nar/25.17.3389 – volume: 14 start-page: 594 year: 2007 end-page: 614 ident: CR4 article-title: Clustered sequence representation for fast homology search publication-title: J. Comput. Biol. doi: 10.1089/cmb.2007.R005 – volume: 15 start-page: 643 year: 2002 end-page: 649 ident: CR16 article-title: Sequence clustering strategies improve remote homology recognitions while reducing search times publication-title: Protein Eng. doi: 10.1093/protein/15.8.643 – volume: 4 start-page: 11 year: 1988 end-page: 17 ident: CR20 article-title: Optimal alignments in linear space publication-title: Comput. Appl. Biosci. – volume: 11 start-page: 488 year: 2010 ident: 1214_CR18 publication-title: BMC Genomics doi: 10.1186/1471-2164-11-488 – volume: 22 start-page: 1658 year: 2006 ident: 1214_CR14 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btl158 – volume: 14 start-page: 594 year: 2007 ident: 1214_CR4 publication-title: J. Comput. Biol. doi: 10.1089/cmb.2007.R005 – volume: 87 start-page: 210 year: 1992 ident: 1214_CR6 publication-title: J. Am. Stat. Assoc. doi: 10.1080/01621459.1992.10475194 – volume: 11 start-page: 265 year: 1984 ident: 1214_CR5 publication-title: Scand. J. Stat. – volume: 15 start-page: 643 year: 2002 ident: 1214_CR16 publication-title: Protein Eng. doi: 10.1093/protein/15.8.643 – volume: 75 start-page: 7537 year: 2009 ident: 1214_CR23 publication-title: Appl. Environ. Microbiol. doi: 10.1128/AEM.01541-09 – volume: 25 start-page: 3389 year: 1997 ident: 1214_CR1 publication-title: Nucleic Acids Res. doi: 10.1093/nar/25.17.3389 – volume: 80 start-page: 193 year: 1993 ident: 1214_CR7 publication-title: Biometrika doi: 10.1093/biomet/80.1.193 – volume: 55 start-page: 856 year: 2009 ident: 1214_CR21 publication-title: Clin. Chem. doi: 10.1373/clinchem.2008.107565 – volume: 4 start-page: 11 year: 1988 ident: 1214_CR20 publication-title: Comput. Appl. Biosci. – volume: 10 start-page: 101 year: 2010 ident: 1214_CR8 publication-title: BMC Microbiol. doi: 10.1186/1471-2180-10-101 – volume: 26 start-page: 2460 year: 2010 ident: 1214_CR10 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq461 – volume: 17 start-page: 681 year: 2009 ident: 1214_CR26 publication-title: Protein Pept. Lett. doi: 10.2174/092986610791190255 – volume: 32 start-page: 1792 year: 2004 ident: 1214_CR9 publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkh340 – volume: 52 start-page: 577 year: 1971 ident: 1214_CR12 publication-title: Ecology doi: 10.2307/1934145 – volume: 19 start-page: 1141 year: 2009 ident: 1214_CR11 publication-title: Genome Res. doi: 10.1101/gr.085464.108 – volume: 22 start-page: 4673 year: 1994 ident: 1214_CR24 publication-title: Nucleic Acids Res. doi: 10.1093/nar/22.22.4673 – volume: 191 start-page: 153 year: 1986 ident: 1214_CR2 publication-title: J. Mol. Biol. doi: 10.1016/0022-2836(86)90252-4 – volume: 23 start-page: 125 year: 2007 ident: 1214_CR13 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btl556 – volume: 11 start-page: 31 year: 2010 ident: 1214_CR19 publication-title: Nat. Rev. Genet. doi: 10.1038/nrg2626 – volume: 132 start-page: 243 year: 2000 ident: 1214_CR22 publication-title: Methods Mol. Biol. – volume: 17 start-page: 282 year: 2001 ident: 1214_CR15 publication-title: Bioinformatics doi: 10.1093/bioinformatics/17.3.282 – volume: 37 start-page: 463 year: 1987 ident: 1214_CR25 publication-title: Int. J. Syst. Bacteriol. doi: 10.1099/00207713-37-4-463 – volume: 3 start-page: e3375 year: 2008 ident: 1214_CR17 publication-title: PLoS One doi: 10.1371/journal.pone.0003375 – ident: 1214_CR3 doi: 10.1093/nar/gkr349 – reference: 21596775 - Nucleic Acids Res. 2011 Aug;39(14):e95 – reference: 18846219 - PLoS One. 2008;3(10):e3375 – reference: 17683263 - J Comput Biol. 2007 Jun;14(5):594-614 – reference: 7984417 - Nucleic Acids Res. 1994 Nov 11;22(22):4673-80 – reference: 3806669 - J Mol Biol. 1986 Sep 20;191(2):153-61 – reference: 19383763 - Genome Res. 2009 Jul;19(7):1141-52 – reference: 16731699 - Bioinformatics. 2006 Jul 1;22(13):1658-9 – reference: 28973811 - Ecology. 1971 Jul;52(4):577-586 – reference: 17077098 - Bioinformatics. 2007 Jan 1;23(1):125-6 – reference: 10547839 - Methods Mol Biol. 2000;132:243-58 – reference: 20819230 - BMC Genomics. 2010 Sep 07;11:488 – reference: 20709691 - Bioinformatics. 2010 Oct 1;26(19):2460-1 – reference: 15034147 - Nucleic Acids Res. 2004 Mar 19;32(5):1792-7 – reference: 19801464 - Appl Environ Microbiol. 2009 Dec;75(23):7537-41 – reference: 19997069 - Nat Rev Genet. 2010 Jan;11(1):31-46 – reference: 9254694 - Nucleic Acids Res. 1997 Sep 1;25(17):3389-402 – reference: 11294794 - Bioinformatics. 2001 Mar;17(3):282-3 – reference: 3382986 - Comput Appl Biosci. 1988 Mar;4(1):11-7 – reference: 20370919 - BMC Microbiol. 2010 Apr 06;10:101 – reference: 12364578 - Protein Eng. 2002 Aug;15(8):643-9 – reference: 19264858 - Clin Chem. 2009 May;55(5):856-66 – reference: 19594428 - Protein Pept Lett. 2010 Jun;17(6):681-9 |
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