Found: 56
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PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3831, doi. 10.1093/bioinformatics/btz165
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GREP: genome for REPositioning drugs.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3821, doi. 10.1093/bioinformatics/btz166
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A Gaussian process model and Bayesian variable selection for mapping function-valued quantitative traits with incomplete phenotypic data.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3684, doi. 10.1093/bioinformatics/btz164
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Interoperable and scalable data analysis with microservices: applications in metabolomics.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3752, doi. 10.1093/bioinformatics/btz160
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Dr.VAE: improving drug response prediction via modeling of drug perturbation effects.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3743, doi. 10.1093/bioinformatics/btz158
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Evolution of biosequence search algorithms: a brief survey.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3547, doi. 10.1093/bioinformatics/btz272
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Is the Bombali virus pathogenic in humans?
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- Bioinformatics, 2019, v. 35, n. 19, p. 3553, doi. 10.1093/bioinformatics/btz267
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ngsLD: evaluating linkage disequilibrium using genotype likelihoods.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3855, doi. 10.1093/bioinformatics/btz200
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Gene-based association tests using GWAS summary statistics.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3701, doi. 10.1093/bioinformatics/btz172
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phylostratr: a framework for phylostratigraphy.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3617, doi. 10.1093/bioinformatics/btz171
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- Article
DEFOR: depth- and frequency-based somatic copy number alteration detector.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3824, doi. 10.1093/bioinformatics/btz170
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VIMCO: variational inference for multiple correlated outcomes in genome-wide association studies.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3693, doi. 10.1093/bioinformatics/btz167
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Integration of methylation QTL and enhancer–target gene maps with schizophrenia GWAS summary results identifies novel genes.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3576, doi. 10.1093/bioinformatics/btz161
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Automated exploration of gene ontology term and pathway networks with ClueGO-REST.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3864, doi. 10.1093/bioinformatics/btz163
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metagenomeFeatures: an R package for working with 16S rRNA reference databases and marker-gene survey feature data.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3870, doi. 10.1093/bioinformatics/btz136
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Bit-parallel sequence-to-graph alignment.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3599, doi. 10.1093/bioinformatics/btz162
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Functional geometry of protein interactomes.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3727, doi. 10.1093/bioinformatics/btz146
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- Article
BioMethyl: an R package for biological interpretation of DNA methylation data.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3635, doi. 10.1093/bioinformatics/btz137
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- Article
aphid: an R package for analysis with profile hidden Markov models.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3829, doi. 10.1093/bioinformatics/btz159
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- Article
TeraPCA: a fast and scalable software package to study genetic variation in tera-scale genotypes.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3679, doi. 10.1093/bioinformatics/btz157
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A new computational drug repurposing method using established disease–drug pair knowledge.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3672, doi. 10.1093/bioinformatics/btz156
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Enhancing the prediction of disease–gene associations with multimodal deep learning.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3735, doi. 10.1093/bioinformatics/btz155
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VERA: agent-based modeling transmission of antibiotic resistance between human pathogens and gut microbiota.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3803, doi. 10.1093/bioinformatics/btz154
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mirtronDB: a mirtron knowledge base.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3873, doi. 10.1093/bioinformatics/btz153
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AutoDock Bias: improving binding mode prediction and virtual screening using known protein–ligand interactions.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3836, doi. 10.1093/bioinformatics/btz152
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VHost-Classifier: virus-host classification using natural language processing.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3867, doi. 10.1093/bioinformatics/btz151
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DIFFpop: a stochastic computational approach to simulate differentiation hierarchies with single cell barcoding.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3849, doi. 10.1093/bioinformatics/btz074
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RECAP reveals the true statistical significance of ChIP-seq peak calls.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3592, doi. 10.1093/bioinformatics/btz150
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Surrogate minimal depth as an importance measure for variables in random forests.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3663, doi. 10.1093/bioinformatics/btz149
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DECO: decompose heterogeneous population cohorts for patient stratification and discovery of sample biomarkers using omic data profiling.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3651, doi. 10.1093/bioinformatics/btz148
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- Article
SW-Tandem: a highly efficient tool for large-scale peptide identification with parallel spectrum dot product on Sunway TaihuLight.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3861, doi. 10.1093/bioinformatics/btz147
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FORESEE: a tool for the systematic comparison of translational drug response modeling pipelines.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3846, doi. 10.1093/bioinformatics/btz145
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Nucleotide Archival Format (NAF) enables efficient lossless reference-free compression of DNA sequences.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3826, doi. 10.1093/bioinformatics/btz144
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Aggrescan3D standalone package for structure-based prediction of protein aggregation properties.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3834, doi. 10.1093/bioinformatics/btz143
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MeSHProbeNet: a self-attentive probe net for MeSH indexing.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3794, doi. 10.1093/bioinformatics/btz142
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Destin: toolkit for single-cell analysis of chromatin accessibility.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3818, doi. 10.1093/bioinformatics/btz141
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SPIM workflow manager for HPC.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3875, doi. 10.1093/bioinformatics/btz140
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SinNLRR: a robust subspace clustering method for cell type detection by non-negative and low-rank representation.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3642, doi. 10.1093/bioinformatics/btz139
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deTS: tissue-specific enrichment analysis to decode tissue specificity.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3842, doi. 10.1093/bioinformatics/btz138
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Benefits of dimension reduction in penalized regression methods for high-dimensional grouped data: a case study in low sample size.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3628, doi. 10.1093/bioinformatics/btz135
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Anduril 2: upgraded large-scale data integration framework.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3815, doi. 10.1093/bioinformatics/btz133
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Missing value estimation methods for DNA methylation data.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3786, doi. 10.1093/bioinformatics/btz134
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CausalTAB: the PSI-MITAB 2.8 updated format for signalling data representation and dissemination.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3779, doi. 10.1093/bioinformatics/btz132
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Easybiotics: a GUI for 3D physical modelling of multi-species bacterial populations.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3859, doi. 10.1093/bioinformatics/btz131
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LIONS: analysis suite for detecting and quantifying transposable element initiated transcription from RNA-seq.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3839, doi. 10.1093/bioinformatics/btz130
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Parameter balancing: consistent parameter sets for kinetic metabolic models.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3857, doi. 10.1093/bioinformatics/btz129
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Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3771, doi. 10.1093/bioinformatics/btz128
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Inter-Modular Linkers play a crucial role in governing the biosynthesis of non-ribosomal peptides.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3584, doi. 10.1093/bioinformatics/btz127
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G2P: a Genome-Wide-Association-Study simulation tool for genotype simulation, phenotype simulation and power evaluation.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3852, doi. 10.1093/bioinformatics/btz126
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Using association signal annotations to boost similarity network fusion.
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- Bioinformatics, 2019, v. 35, n. 19, p. 3718, doi. 10.1093/bioinformatics/btz124
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