Suchergebnisse - anzsrc-for: 3102 ((bioinformatics OR informatik) OR informaticsa) AND computational biology~

How mandibular and hyoid morphology alters tongue muscle architecture in healthy adults: An anatomical atlas and statistical shape model of the tongue

Autoren: Lloyd, RA Dissanayake, E Jugé, L et al.

Quelle: urn:ISSN:0010-4825 ; urn:ISSN:1879-0534 ; Computers in Biology and Medicine, 189, 110006-110006

Schlagwörter: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, 4203 Health Services and Systems, 42 Health Sciences, 46 Information and Computing Sciences, 4601 Applied Computing, Biomedical Imaging, Dental/Oral and Craniofacial Disease, Clinical Research, Humans, Tongue, Male, Female, Adult, Hyoid Bone, Mandible, Magnetic Resonance Imaging, Models, Anatomic, Young Adult, Diffusion Magnetic Resonance Imaging, DWI, MRI, Muscle architecture, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 4203 Health Services and Systems, anzsrc-for: 42 Health Sciences, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 4601 Applied Computing

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/1959.4/104552; https://doi.org/10.1016/j.compbiomed.2025.110006

Verfügbarkeit: https://hdl.handle.net/1959.4/104552
https://unsworks.unsw.edu.au/bitstreams/c5e53fcc-256f-485d-9ea2-bde0f2ddc61f/download
https://doi.org/10.1016/j.compbiomed.2025.110006

Selective intrafascicular stimulation of myelinated and unmyelinated nerve fibers through a longitudinal electrode: A computational study

Autoren: Wang, X Zhang, Y Guo, T et al.

Quelle: urn:ISSN:0010-4825 ; urn:ISSN:1879-0534 ; Computers in Biology and Medicine, 176, 108556-108556

Schlagwörter: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, 4203 Health Services and Systems, 42 Health Sciences, 46 Information and Computing Sciences, 4601 Applied Computing, Neurosciences, Animals, Nerve Fibers, Myelinated, Unmyelinated, Rats, Electric Stimulation, Nanotubes, Carbon, Models, Neurological, Sciatic Nerve, Electrodes, Computational modeling, Intrafascicular electrical stimulation, Longitudinal electrode, Peripheral nerve, Selective activation, Unmyelinated C fiber, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 4203 Health Services and Systems, anzsrc-for: 42 Health Sciences, anzsrc-for: 46 Information and Computing Sciences

Relation: http://hdl.handle.net/1959.4/102145; https://doi.org/10.1016/j.compbiomed.2024.108556

Verfügbarkeit: http://hdl.handle.net/1959.4/102145
https://doi.org/10.1016/j.compbiomed.2024.108556

System biology and bioinformatics pipeline to identify comorbidities risk association: Neurodegenerative disorder case study

Autoren: Chowdhury, UN Ahmad, S Islam, MB et al.

Weitere Verfasser: Chowdhury, UN Ahmad, S Islam, MB et al.

Quelle: urn:ISSN:1932-6203 ; PLoS ONE, 16, 5 May, e0250660

Schlagwörter: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, 3105 Genetics, Neurodegenerative, Alzheimer's Disease, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurosciences, Dementia, Acquired Cognitive Impairment, Aging, Brain Disorders, Genetics, 2.1 Biological and endogenous factors, Neurological, Humans, Computational Biology, Comorbidity, Alzheimer Disease, Neurodegenerative Diseases, Systems Biology, Gene Ontology, Gene Expression Profiling, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 3105 Genetics

Dateibeschreibung: application/pdf

Relation: http://hdl.handle.net/1959.4/unsworks_76368; https://doi.org/10.1371/journal.pone.0250660

Verfügbarkeit: http://hdl.handle.net/1959.4/unsworks_76368
https://unsworks.unsw.edu.au/bitstreams/56e91123-d01c-4298-856d-0590197a11c5/download
https://doi.org/10.1371/journal.pone.0250660

Topological barrier to Cas12a activation by circular DNA nanostructures facilitates autocatalysis and transforms DNA/RNA sensing

Autoren: Deng, F Li, Y Yang, B et al.

Quelle: urn:ISSN:2041-1723 ; Nature Communications, 15, 1, 1818

Schlagwörter: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, Biotechnology, Genetics, Infectious Diseases, Cancer, DNA, Circular, RNA, CRISPR-Cas Systems, Guide, Helicobacter pylori, Nanostructures, Ribonucleoproteins, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/1959.4/102737

Verfügbarkeit: https://hdl.handle.net/1959.4/102737
https://unsworks.unsw.edu.au/bitstreams/a7b2ee9b-81f2-4989-b26c-82378b07fda0/download
https://doi.org/10.1038/s41467-024-46001-8

Metabolic and mitochondria alterations induced by SARS-CoV-2 accessory proteins ORF3a, ORF9b, ORF9c and ORF10

Autoren: López-Ayllón, BD Marin, S Fernández, MF et al.

Quelle: urn:ISSN:0146-6615 ; urn:ISSN:1096-9071 ; Journal of Medical Virology, 96, 7, e29752

Schlagwörter: 3101 Biochemistry and Cell Biology, 3102 Bioinformatics and Computational Biology, 31 Biological Sciences, Infectious Diseases, Coronaviruses, Nutrition, Genetics, Emerging Infectious Diseases, 2.1 Biological and endogenous factors, 3 Good Health and Well Being, Humans, A549 Cells, COVID-19, Mitochondria, Open Reading Frames, SARS-CoV-2, Transcriptome, Viral Proteins, Viral Regulatory and Accessory Proteins, Viroporin Proteins, ORF10, ORF3a, ORF9b, ORF9c, genome‐scale metabolic modeling, metabolomics, transcriptomics, anzsrc-for: 3101 Biochemistry and Cell Biology, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 31 Biological Sciences

Dateibeschreibung: application/pdf

Relation: http://hdl.handle.net/1959.4/103168; https://doi.org/10.1002/jmv.29752

Verfügbarkeit: http://hdl.handle.net/1959.4/103168
https://unsworks.unsw.edu.au/bitstreams/e7c91d27-cd49-4094-86d6-035762a0f5e5/download
https://doi.org/10.1002/jmv.29752

The activity of early-life gene regulatory elements is hijacked in aging through pervasive AP-1-linked chromatin opening

Autoren: Patrick, Ralph Naval-Sanchez, Marina Deshpande, Nikita et al.

Quelle: urn:ISSN:1550-4131 ; urn:ISSN:1932-7420 ; Cell Metabolism, 36, 8, 1858-1881.e23

Schlagwörter: 3101 Biochemistry and Cell Biology, 3102 Bioinformatics and Computational Biology, 31 Biological Sciences, Genetics, Aging, Human Genome, 1.1 Normal biological development and functioning, Animals, Transcription Factor AP-1, Chromatin, Mice, Humans, Inbred C57BL, Binding Sites, AP-1, CTCF, cell identity, development, maturation, polycomb repressive complex 2, redistribution, transcription factors, anzsrc-for: 3101 Biochemistry and Cell Biology, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 31 Biological Sciences, anzsrc-for: 0601 Biochemistry and Cell Biology, anzsrc-for: 1101 Medical Biochemistry and Metabolomics, anzsrc-for: 3205 Medical biochemistry and metabolomics

Relation: http://hdl.handle.net/1959.4/102642; https://doi.org/10.1016/j.cmet.2024.06.006

Verfügbarkeit: http://hdl.handle.net/1959.4/102642
https://doi.org/10.1016/j.cmet.2024.06.006

A robust experimental and computational analysis framework at multiple resolutions, modalities and coverages

Autoren: Tran, M Yoon, S Teoh, M et al.

Quelle: urn:ISSN:1664-3224 ; Frontiers in Immunology, 13, 911873

Schlagwörter: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, 32 Biomedical and Clinical Sciences, 3105 Genetics, 3204 Immunology, 3211 Oncology and Carcinogenesis, Human Genome, Genetics, Biotechnology, Cancer Genomics, Cancer, Bioengineering, Ligands, RNA, Sequence Analysis, Single-Cell Analysis, Transcriptome, cell-cell interaction, data integration, interaction analysis, skin cancer, spatial, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 32 Biomedical and Clinical Sciences, anzsrc-for: 3105 Genetics, anzsrc-for: 3204 Immunology, anzsrc-for: 3211 Oncology and Carcinogenesis, anzsrc-for: 1107 Immunology, anzsrc-for: 1108 Medical Microbiology

Relation: http://hdl.handle.net/1959.4/102694; https://doi.org/10.3389/fimmu.2022.911873

Verfügbarkeit: http://hdl.handle.net/1959.4/102694
https://doi.org/10.3389/fimmu.2022.911873

An algebraic model for inversion and deletion in bacterial genome rearrangement

Autoren: Clark, C Jonušas, J Mitchell, JD et al.

Weitere Verfasser: Clark, C Jonušas, J Mitchell, JD et al.

Quelle: J Math Biol

Schlagwörter: 0301 basic medicine, QH426 Genetics, anzsrc-for: 49 Mathematical sciences, Article, Deletion, 3102 Bioinformatics and Computational Biology, 03 medical and health sciences, XXXXXX - Unknown, FOS: Mathematics, Humans, 20M20, 92D15, 20M05, anzsrc-for: 31 Biological Sciences, QH426, Bacterial genomics, Phylogeny, MCC, Gene Rearrangement, Partial permutation, 0303 health sciences, Genome, Distance, anzsrc-for: 01 Mathematical Sciences, Bacterial, Inversion, Mathematics - Rings and Algebras, Biological Evolution, Phylogenetics, Infectious Diseases, Rings and Algebras (math.RA), Chromosome Inversion, anzsrc-for: 06 Biological Sciences, T-DAS, anzsrc-for: 3102 Bioinformatics and Computational Biology, Algorithms, Genome, Bacterial, 31 Biological Sciences

Dateibeschreibung: application/pdf; print

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37517046
http://arxiv.org/abs/2209.07963
https://hdl.handle.net/10023/28068

Cross-linking mass spectrometry discovers, evaluates, and corroborates structures and protein–protein interactions in the human cell

Autoren: Bartolec, TK Vázquez-Campos, X Norman, A et al.

Quelle: urn:ISSN:0027-8424 ; urn:ISSN:1091-6490 ; Proceedings of the National Academy of Sciences of the United States of America, 120, 17

Schlagwörter: 3401 Analytical Chemistry, 3101 Biochemistry and Cell Biology, 3102 Bioinformatics and Computational Biology, 31 Biological Sciences, 34 Chemical Sciences, 1.1 Normal biological development and functioning, 2.1 Biological and endogenous factors, Generic health relevance, Humans, Cryoelectron Microscopy, Proteomics, Mass Spectrometry, Molecular Biology, Proteome, Cross-Linking Reagents, AlphaFold2, cross-linking mass spectrometry, protein structure prediction, protein–protein interactions, structural proteomics, anzsrc-for: 3401 Analytical Chemistry, anzsrc-for: 3101 Biochemistry and Cell Biology, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 31 Biological Sciences, anzsrc-for: 34 Chemical Sciences

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/1959.4/unsworks_84932; https://doi.org/10.1073/pnas.2219418120

Verfügbarkeit: https://hdl.handle.net/1959.4/unsworks_84932
https://unsworks.unsw.edu.au/bitstreams/9fd06028-fd19-41b2-bf50-9fb222b0ad62/download
https://doi.org/10.1073/pnas.2219418120

Robust mapping of spatiotemporal trajectories and cell–cell interactions in healthy and diseased tissues

Autoren: Pham, Duy Tan, Xiao Balderson, Brad et al.

Quelle: urn:ISSN:2041-1723 ; Nature Communications, 14, 1, 7739

Schlagwörter: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, Networking and Information Technology R&D (NITRD), Bioengineering, Genetics, 1.1 Normal biological development and functioning, 2.1 Biological and endogenous factors, Cancer, Software, Algorithms, Cell Communication, Gene Expression Profiling, Neural Networks, Computer, Transcriptome, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology

Relation: http://hdl.handle.net/1959.4/102643

Verfügbarkeit: http://hdl.handle.net/1959.4/102643
https://doi.org/10.1038/s41467-023-43120-6

Histone H3-wild type diffuse midline gliomas with H3K27me3 loss are a distinct entity with exclusive EGFR or ACVR1 mutation and differential methylation of homeobox genes

Autoren: Ajuyah, P Mayoh, C Lau, LMS et al.

Quelle: urn:ISSN:2045-2322 ; Scientific Reports, 13, 1, 3775

Schlagwörter: 31 Biological Sciences, 32 Biomedical and Clinical Sciences, 3102 Bioinformatics and Computational Biology, 3105 Genetics, 3211 Oncology and Carcinogenesis, Brain Disorders, Cancer Genomics, Human Genome, Brain Cancer, Cancer, Genetics, Rare Diseases, 2.1 Biological and endogenous factors, 4.2 Evaluation of markers and technologies, Child, Humans, Genes, Homeobox, Histones, Methylation, Glioma, Mutation, ErbB Receptors, Activin Receptors, Type I, anzsrc-for: 31 Biological Sciences, anzsrc-for: 32 Biomedical and Clinical Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 3105 Genetics, anzsrc-for: 3211 Oncology and Carcinogenesis

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/1959.4/102336

Verfügbarkeit: https://hdl.handle.net/1959.4/102336
https://unsworks.unsw.edu.au/bitstreams/55f05900-ee96-4171-a999-91b4006badf0/download
https://doi.org/10.1038/s41598-023-30395-4

Dendritic Cell Density and Morphology Can Be Used to Differentiate Vernal Keratoconjunctivitis from Allergic Conjunctivitis

Autoren: Tajbakhsh, Z Golebiowski, B Stapleton, F et al.

Quelle: urn:ISSN:2218-273X ; Biomolecules, 13, 10, 1469

Schlagwörter: 32 Biomedical and Clinical Sciences, 3212 Ophthalmology and Optometry, Eye Disease and Disorders of Vision, 2.1 Biological and endogenous factors, Inflammatory and immune system, Humans, Conjunctivitis, Allergic, Prospective Studies, Conjunctiva, Cornea, Dendritic Cells, allergic conjunctivitis, antigen capture capacity, dendritic cell, in vivo confocal microscopy, migratory capacity, vernal keratoconjunctivitis, anzsrc-for: 32 Biomedical and Clinical Sciences, anzsrc-for: 3212 Ophthalmology and Optometry, anzsrc-for: 0601 Biochemistry and Cell Biology, anzsrc-for: 3101 Biochemistry and cell biology, anzsrc-for: 3102 Bioinformatics and computational biology, anzsrc-for: 3206 Medical biotechnology

Relation: https://hdl.handle.net/1959.4/104480; https://doi.org/10.3390/biom13101469

Verfügbarkeit: https://hdl.handle.net/1959.4/104480
https://doi.org/10.3390/biom13101469

Novel Peptides with Dual Properties for Treating Pseudomonas aeruginosa Keratitis: Antibacterial and Corneal Wound Healing

Autoren: Cappiello, F Verma, S Lin, X et al.

Quelle: urn:ISSN:2218-273X ; Biomolecules, 13, 7, 1028

Schlagwörter: 32 Biomedical and Clinical Sciences, 3212 Ophthalmology and Optometry, Infectious Diseases, Physical Injury - Accidents and Adverse Effects, Eye Disease and Disorders of Vision, Wound Healing and Care, 5.1 Pharmaceuticals, Eye, Infection, Animals, Mice, Pseudomonas aeruginosa, Pseudomonas Infections, Keratitis, Anti-Bacterial Agents, Corneal Injuries, Peptides, Wound Healing, antimicrobial peptides, antimicrobial resistance, corneal infections, corneal wound healing, anzsrc-for: 32 Biomedical and Clinical Sciences, anzsrc-for: 3212 Ophthalmology and Optometry, anzsrc-for: 0601 Biochemistry and Cell Biology, anzsrc-for: 3101 Biochemistry and cell biology, anzsrc-for: 3102 Bioinformatics and computational biology, anzsrc-for: 3206 Medical biotechnology

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/1959.4/unsworks_84021; https://doi.org/10.3390/biom13071028

Verfügbarkeit: https://hdl.handle.net/1959.4/unsworks_84021
https://unsworks.unsw.edu.au/bitstreams/897e7a59-6af6-4e78-85fc-29f4da6aacef/download
https://doi.org/10.3390/biom13071028

Density-based detection of cell transition states to construct disparate and bifurcating trajectories

Autoren: Lan, T Hutvagner, G Zhang, X et al.

Quelle: urn:ISSN:0305-1048 ; urn:ISSN:1362-4962 ; Nucleic acids research, 50, 21, e122-e122

Schlagwörter: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, Cancer Genomics, Genetics, Cancer, Human Genome, 1.1 Normal biological development and functioning, Humans, Single-Cell Analysis, SARS-CoV-2, COVID-19, Cell Differentiation, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 05 Environmental Sciences, anzsrc-for: 06 Biological Sciences, anzsrc-for: 08 Information and Computing Sciences, anzsrc-for: 34 Chemical sciences, anzsrc-for: 41 Environmental sciences

Dateibeschreibung: application/pdf

Relation: http://hdl.handle.net/1959.4/unsworks_82561; https://doi.org/10.1093/nar/gkac785

Verfügbarkeit: http://hdl.handle.net/1959.4/unsworks_82561
https://unsworks.unsw.edu.au/bitstreams/224bfec6-f949-406a-ab98-8a4c36cd4260/download
https://doi.org/10.1093/nar/gkac785

VIRMOTIF: A user-friendly tool for viral sequence analysis

Autoren: Rajaei, P Jahanian, KH Beheshti, A et al.

Quelle: urn:ISSN:2073-4425 ; Genes, 12, 2, 1-9

Schlagwörter: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, Bioengineering, Networking and Information Technology R&D (NITRD), Biotechnology, 1.1 Normal biological development and functioning, 1.5 Resources and infrastructure (underpinning), Generic health relevance, Algorithms, Cluster Analysis, Computational Biology, Databases, Genetic, Genetic Variation, Genome, Viral, Nucleotide Motifs, Sequence Analysis, DNA, Software, User-Computer Interface, D-ratio, motif analysis, sequence variation, virus genome, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 0604 Genetics, anzsrc-for: 3105 Genetics

Dateibeschreibung: application/pdf

Relation: http://hdl.handle.net/1959.4/unsworks_74948; https://doi.org/10.3390/genes12020186

Verfügbarkeit: http://hdl.handle.net/1959.4/unsworks_74948
https://unsworks.unsw.edu.au/bitstreams/8a4858e8-873c-452e-bcab-004ab61cbac1/download
https://doi.org/10.3390/genes12020186

Application of network link prediction in drug discovery

Autoren: Abbas, K Abbasi, A Dong, S et al.

Quelle: urn:ISSN:1471-2105 ; BMC Bioinformatics, 22, 1

Schlagwörter: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, Data Science, Patient Safety, Networking and Information Technology R&D (NITRD), Machine Learning and Artificial Intelligence, Bioengineering, 8.4 Research design and methodologies (health services), 1.4 Methodologies and measurements, Generic health relevance, 3 Good Health and Well Being, Algorithms, Drug Discovery, Drug Interactions, Machine Learning, Data-driven drug discovery, Drug-target prediction, Network link prediction, Poly-pharmacy, Poly-pharmacy side effects prediction, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 01 Mathematical Sciences, anzsrc-for: 06 Biological Sciences, anzsrc-for: 08 Information and Computing Sciences, anzsrc-for: 46 Information and computing sciences, anzsrc-for: 49 Mathematical sciences

Dateibeschreibung: application/pdf

Relation: http://hdl.handle.net/1959.4/unsworks_83625

Verfügbarkeit: http://hdl.handle.net/1959.4/unsworks_83625
https://unsworks.unsw.edu.au/bitstreams/f44db202-01dc-496a-ab08-28e7c8d1f8a2/download
https://doi.org/10.1186/s12859-021-04082-y

Transcript- and annotation-guided genome assembly of the European starling

Autoren: Stuart, KC Edwards, RJ Cheng, Y et al.

Quelle: urn:ISSN:1755-098X ; urn:ISSN:1755-0998 ; Molecular Ecology Resources, 22, 8, 3141-3160

Schlagwörter: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, 3105 Genetics, Biotechnology, Human Genome, Genetics, Animals, Australia, Genome, Genomics, Molecular Sequence Annotation, Starlings, Sturnus vulgaris, full-length transcripts, genome annotation, genome assembly, genome assessment, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 3105 Genetics, anzsrc-for: 06 Biological Sciences

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/1959.4/unsworks_84806

Verfügbarkeit: https://hdl.handle.net/1959.4/unsworks_84806
https://unsworks.unsw.edu.au/bitstreams/e1b69ff6-6f37-4c21-954a-7758ce7d23ce/download
https://doi.org/10.1111/1755-0998.13679

Benchmarking of ATAC Sequencing Data From BGI’s Low-Cost DNBSEQ-G400 Instrument for Identification of Open and Occupied Chromatin Regions

Autoren: Naval-Sanchez, Marina Deshpande, Nikita Tran, Minh et al.

Quelle: urn:ISSN:2296-889X ; Frontiers in Molecular Biosciences, 9, 900323

Schlagwörter: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, Human Genome, Genetics, ATAC-seq, BGI, DNBSEQ-G400, Illumina, benchmarking, foot-printing, motif enrichment, sequencing platform, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 3101 Biochemistry and cell biology, anzsrc-for: 3205 Medical biochemistry and metabolomics

Relation: http://hdl.handle.net/1959.4/102686; https://doi.org/10.3389/fmolb.2022.900323

Verfügbarkeit: http://hdl.handle.net/1959.4/102686
https://doi.org/10.3389/fmolb.2022.900323

Transcriptome-guided annotation and functional classification of long non-coding RNAs in Arabidopsis thaliana

Autoren: Corona-Gomez, JA Coss-Navarrete, EL Garcia-Lopez, IJ et al.

Quelle: urn:ISSN:2045-2322 ; Scientific Reports, 12, 1, 14063

Schlagwörter: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, 3404 Medicinal and Biomolecular Chemistry, 34 Chemical Sciences, 3108 Plant Biology, Biotechnology, Genetics, Human Genome, Arabidopsis, Molecular Sequence Annotation, RNA, Long Noncoding, Transcriptome, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 3404 Medicinal and Biomolecular Chemistry, anzsrc-for: 34 Chemical Sciences, anzsrc-for: 3108 Plant Biology

Dateibeschreibung: application/pdf

Relation: http://hdl.handle.net/1959.4/unsworks_84513

Verfügbarkeit: http://hdl.handle.net/1959.4/unsworks_84513
https://unsworks.unsw.edu.au/bitstreams/9844cf5c-32a3-46a5-ac80-12fbb7223617/download
https://doi.org/10.1038/s41598-022-18254-0

The low abundance of CpG in the SARS-CoV-2 genome is not an evolutionarily signature of ZAP

Autoren: Afrasiabi, A Alinejad-Rokny, H Khosh, A et al.

Quelle: urn:ISSN:2045-2322 ; Scientific Reports, 12, 1, 2420

Schlagwörter: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, Genetics, Infectious Diseases, Coronaviruses, Human Genome, Emerging Infectious Diseases, Generic health relevance, Infection, Animals, Base Sequence, Binding Sites, COVID-19, Dinucleoside Phosphates, Evolution, Molecular, Genome, Viral, Host-Pathogen Interactions, Humans, Nucleotide Motifs, Protein Binding, RNA, RNA-Binding Proteins, SARS-CoV-2, Virus Replication, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/1959.4/unsworks_80063

Verfügbarkeit: https://hdl.handle.net/1959.4/unsworks_80063
https://unsworks.unsw.edu.au/bitstreams/5245e620-cdc5-4d14-a7c8-bfabd510a3bc/download
https://doi.org/10.1038/s41598-022-06046-5