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Volume 21, Issue 5, September 2020
Review Articles
Gene set analysis methods for the functional interpretation of non-mRNA data—Genomic range and ncRNA data
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1495–1508, https://doi.org/10.1093/bib/bbz090
Accuracy of protein-level disorder predictions
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1509–1522, https://doi.org/10.1093/bib/bbz100
Beware the Jaccard: the choice of similarity measure is important and non-trivial in genomic colocalisation analysis
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1523–1530, https://doi.org/10.1093/bib/bbz083
A comprehensive review and evaluation of computational methods for identifying protein complexes from protein–protein interaction networks
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1531–1548, https://doi.org/10.1093/bib/bbz085
Computational approaches to therapeutic antibody design: established methods and emerging trends
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1549–1567, https://doi.org/10.1093/bib/bbz095
A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiae
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1568–1580, https://doi.org/10.1093/bib/bbz123
Evaluation of single-cell classifiers for single-cell RNA sequencing data sets
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1581–1595, https://doi.org/10.1093/bib/bbz096
Predicting bacterial virulence factors – evaluation of machine learning and negative data strategies
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1596–1608, https://doi.org/10.1093/bib/bbz076
Deep learning for drug–drug interaction extraction from the literature: a review
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1609–1627, https://doi.org/10.1093/bib/bbz087
Critical evaluation of web-based prediction tools for human protein subcellular localization
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1628–1640, https://doi.org/10.1093/bib/bbz106
Network control principles for identifying personalized driver genes in cancer
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1641–1662, https://doi.org/10.1093/bib/bbz089
Computational/in silico methods in drug target and lead prediction
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1663–1675, https://doi.org/10.1093/bib/bbz103
Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1676–1696, https://doi.org/10.1093/bib/bbz112
Problem Solving Protocols
Community curation of bioinformatics software and data resources
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1697–1705, https://doi.org/10.1093/bib/bbz075
Tools for fundamental analysis functions of TCR repertoires: a systematic comparison
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1706–1716, https://doi.org/10.1093/bib/bbz092
Universal concept signature analysis: genome-wide quantification of new biological and pathological functions of genes and pathways
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1717–1732, https://doi.org/10.1093/bib/bbz093
DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1733–1741, https://doi.org/10.1093/bib/bbz098
Computational identification of mutator-derived lncRNA signatures of genome instability for improving the clinical outcome of cancers: a case study in breast cancer
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1742–1755, https://doi.org/10.1093/bib/bbz118
Quantile regression for challenging cases of eQTL mapping
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1756–1765, https://doi.org/10.1093/bib/bbz097
A beginner’s guide for FMDV quasispecies analysis: sub-consensus variant detection and haplotype reconstruction using next-generation sequencing
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1766–1775, https://doi.org/10.1093/bib/bbz086
Optimization of in silico tools for predicting genetic variants: individualizing for genes with molecular sub-regional stratification
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1776–1786, https://doi.org/10.1093/bib/bbz115
Flexible k-mers with variable-length indels for identifying binding sequences of protein dimers
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1787–1797, https://doi.org/10.1093/bib/bbz101
Deep learning based prediction of reversible HAT/HDAC-specific lysine acetylation
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1798–1805, https://doi.org/10.1093/bib/bbz107
Genotype imputation and reference panel: a systematic evaluation on haplotype size and diversity
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1806–1817, https://doi.org/10.1093/bib/bbz108
CrossICC: iterative consensus clustering of cross-platform gene expression data without adjusting batch effect
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1818–1824, https://doi.org/10.1093/bib/bbz116
Convolutional neural network-based annotation of bacterial type IV secretion system effectors with enhanced accuracy and reduced false discovery
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1825–1836, https://doi.org/10.1093/bib/bbz120
FRANC: a unified framework for multi-way local ancestry deconvolution with high density SNP data
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1837–1845, https://doi.org/10.1093/bib/bbz117
ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1846–1855, https://doi.org/10.1093/bib/bbz088
Corrigendum
Corrigendum to: Comprehensive review and empirical analysis of hallmarks of DNA-, RNA- and protein-binding residues in protein chains
Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Page 1856, https://doi.org/10.1093/bib/bbz102
