Works matching IS 13674803 AND DT 2020 AND VI 36 AND IP 4
Results: 61
Thermodynamically consistent estimation of Gibbs free energy from data: data reconciliation approach.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1219, doi. 10.1093/bioinformatics/btz741
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EvoEF2: accurate and fast energy function for computational protein design.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1135, doi. 10.1093/bioinformatics/btz740
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Hexa-Longin domain scaffolds for inter-Rab signalling.
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- Bioinformatics, 2020, v. 36, n. 4, p. 990, doi. 10.1093/bioinformatics/btz739
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Topology-based classification of tetrads and quadruplex structures.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1129, doi. 10.1093/bioinformatics/btz738
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Meltos: multi-sample tumor phylogeny reconstruction for structural variants.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1082, doi. 10.1093/bioinformatics/btz737
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Identification of metabolites from tandem mass spectra with a machine learning approach utilizing structural features.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1213, doi. 10.1093/bioinformatics/btz736
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simurg: simulate bacterial pangenomes in R.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1273, doi. 10.1093/bioinformatics/btz735
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SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1074, doi. 10.1093/bioinformatics/btz734
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Evaluation of bottom-up and top-down mass spectrum identifications with different customized protein sequences databases.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1030, doi. 10.1093/bioinformatics/btz733
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The CroCo cross-link converter: a user-centred tool to convert results from cross-linking mass spectrometry experiments.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1296, doi. 10.1093/bioinformatics/btz732
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Metric learning on expression data for gene function prediction.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1182, doi. 10.1093/bioinformatics/btz731
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CircaCompare: a method to estimate and statistically support differences in mesor, amplitude and phase, between circadian rhythms.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1208, doi. 10.1093/bioinformatics/btz730
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Towards next-generation diagnostics for tuberculosis: identification of novel molecular targets by large-scale comparative genomics.
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- Bioinformatics, 2020, v. 36, n. 4, p. 985, doi. 10.1093/bioinformatics/btz729
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Deep-learning with synthetic data enables automated picking of cryo-EM particle images of biological macromolecules.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1252, doi. 10.1093/bioinformatics/btz728
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T-lex3: an accurate tool to genotype and estimate population frequencies of transposable elements using the latest short-read whole genome sequencing data.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1191, doi. 10.1093/bioinformatics/btz727
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bayNorm: Bayesian gene expression recovery, imputation and normalization for single-cell RNA-sequencing data.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1174, doi. 10.1093/bioinformatics/btz726
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A fast and memory efficient MLCS algorithm by character merging for DNA sequences alignment.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1066, doi. 10.1093/bioinformatics/btz725
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L1EM: a tool for accurate locus specific LINE-1 RNA quantification.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1167, doi. 10.1093/bioinformatics/btz724
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phylogenize: correcting for phylogeny reveals genes associated with microbial distributions.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1289, doi. 10.1093/bioinformatics/btz722
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DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1057, doi. 10.1093/bioinformatics/btz721
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ChIPseqSpikeInFree: a ChIP-seq normalization approach to reveal global changes in histone modifications without spike-in.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1270, doi. 10.1093/bioinformatics/btz720
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SCSsim: an integrated tool for simulating single-cell genome sequencing data.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1281, doi. 10.1093/bioinformatics/btz713
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VISOR: a versatile haplotype-aware structural variant simulator for short- and long-read sequencing.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1267, doi. 10.1093/bioinformatics/btz719
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Graph embedding on biomedical networks: methods, applications and evaluations.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1241, doi. 10.1093/bioinformatics/btz718
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VikNGS: a C++ variant integration kit for next generation sequencing association analysis.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1283, doi. 10.1093/bioinformatics/btz716
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Pavian: interactive analysis of metagenomics data for microbiome studies and pathogen identification.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1303, doi. 10.1093/bioinformatics/btz715
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AssessORF: combining evolutionary conservation and proteomics to assess prokaryotic gene predictions.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1022, doi. 10.1093/bioinformatics/btz714
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MitoTrack, a user-friendly semi-automatic software for lineage tracking in living embryos.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1300, doi. 10.1093/bioinformatics/btz717
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MUFold-SSW: a new web server for predicting protein secondary structures, torsion angles and turns.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1293, doi. 10.1093/bioinformatics/btz712
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Chordomics: a visualization tool for linking function to phylogeny in microbiomes.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1309, doi. 10.1093/bioinformatics/btz711
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Zombi: a phylogenetic simulator of trees, genomes and sequences that accounts for dead linages.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1286, doi. 10.1093/bioinformatics/btz710
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Subtype-specific transcriptional regulators in breast tumors subjected to genetic and epigenetic alterations.
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- Bioinformatics, 2020, v. 36, n. 4, p. 994, doi. 10.1093/bioinformatics/btz709
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DeepMSPeptide: peptide detectability prediction using deep learning.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1279, doi. 10.1093/bioinformatics/btz708
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PPNID: a reference database and molecular identification pipeline for plant-parasitic nematodes.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1052, doi. 10.1093/bioinformatics/btz707
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EvolClust: automated inference of evolutionary conserved gene clusters in eukaryotes.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1265, doi. 10.1093/bioinformatics/btz706
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Spectrum: fast density-aware spectral clustering for single and multi-omic data.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1159, doi. 10.1093/bioinformatics/btz704
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Proteome-level assessment of origin, prevalence and function of leucine-aspartic acid (LD) motifs.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1121, doi. 10.1093/bioinformatics/btz703
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EpiSAFARI: sensitive detection of valleys in epigenetic signals for enhancing annotations of functional elements.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1014, doi. 10.1093/bioinformatics/btz702
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scDAPA: detection and visualization of dynamic alternative polyadenylation from single cell RNA-seq data.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1262, doi. 10.1093/bioinformatics/btz701
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hypeR: an R package for geneset enrichment workflows.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1307, doi. 10.1093/bioinformatics/btz700
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Protein–protein interaction site prediction through combining local and global features with deep neural networks.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1114, doi. 10.1093/bioinformatics/btz699
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scds: computational annotation of doublets in single-cell RNA sequencing data.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1150, doi. 10.1093/bioinformatics/btz698
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Set cover-based methods for motif selection.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1044, doi. 10.1093/bioinformatics/btz697
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NERDD: a web portal providing access to in silico tools for drug discovery.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1291, doi. 10.1093/bioinformatics/btz695
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Identifying enhancer–promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1037, doi. 10.1093/bioinformatics/btz694
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QUBIC2: a novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq data.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1143, doi. 10.1093/bioinformatics/btz692
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XMAn v2—a database of Homo sapiens mutated peptides.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1311, doi. 10.1093/bioinformatics/btz693
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Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learning.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1107, doi. 10.1093/bioinformatics/btz691
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Non-homogeneous dynamic Bayesian networks with edge-wise sequentially coupled parameters.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1198, doi. 10.1093/bioinformatics/btz690
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VisFeature: a stand-alone program for visualizing and analyzing statistical features of biological sequences.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1277, doi. 10.1093/bioinformatics/btz689
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