Found: 66
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VeriNA3d: an R package for nucleic acids data mining.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5334, doi. 10.1093/bioinformatics/btz553
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NRStitcher: non-rigid stitching of terapixel-scale volumetric images.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5290, doi. 10.1093/bioinformatics/btz423
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DeepSymmetry: using 3D convolutional networks for identification of tandem repeats and internal symmetries in protein structures.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5113, doi. 10.1093/bioinformatics/btz454
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MetaQUBIC: a computational pipeline for gene-level functional profiling of metagenome and metatranscriptome.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5397, doi. 10.1093/bioinformatics/btz696
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MEpurity: estimating tumor purity using DNA methylation data.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5298, doi. 10.1093/bioinformatics/btz555
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ROBOKOP: an abstraction layer and user interface for knowledge graphs to support question answering.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5382, doi. 10.1093/bioinformatics/btz604
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BLANT—fast graphlet sampling tool.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5363, doi. 10.1093/bioinformatics/btz603
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scRNABatchQC: multi-samples quality control for single cell RNA-seq data.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5306, doi. 10.1093/bioinformatics/btz601
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CoBAMP: a Python framework for metabolic pathway analysis in constraint-based models.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5361, doi. 10.1093/bioinformatics/btz598
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Sequence tube maps: making graph genomes intuitive to commuters.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5318, doi. 10.1093/bioinformatics/btz597
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geneCo: a visualized comparative genomic method to analyze multiple genome structures.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5303, doi. 10.1093/bioinformatics/btz596
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- Article
PyMethylProcess—convenient high-throughput preprocessing workflow for DNA methylation data.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5379, doi. 10.1093/bioinformatics/btz594
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MPRAscore: robust and non-parametric analysis of massively parallel reporter assays.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5351, doi. 10.1093/bioinformatics/btz591
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OncodriveCLUSTL: a sequence-based clustering method to identify cancer drivers.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5396, doi. 10.1093/bioinformatics/btz588
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DISPOT: a simple knowledge-based protein domain interaction statistical potential.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5374, doi. 10.1093/bioinformatics/btz587
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SquiggleKit: a toolkit for manipulating nanopore signal data.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5372, doi. 10.1093/bioinformatics/btz586
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amplimap: a versatile tool to process and analyze targeted NGS data.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5349, doi. 10.1093/bioinformatics/btz582
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Predicting promoters in phage genomes using PhagePromoter.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5301, doi. 10.1093/bioinformatics/btz580
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diSTruct v1.0: generating biomolecular structures from distance constraints.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5337, doi. 10.1093/bioinformatics/btz578
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TFEA.ChIP: a tool kit for transcription factor binding site enrichment analysis capitalizing on ChIP-seq datasets.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5339, doi. 10.1093/bioinformatics/btz573
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- Article
Tailor-made multiple sequence alignments using the PRALINE 2 alignment toolkit.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5315, doi. 10.1093/bioinformatics/btz572
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sAOP: linking chemical stressors to adverse outcomes pathway networks.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5391, doi. 10.1093/bioinformatics/btz570
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PTM-Logo: a program for generation of sequence logos based on position-specific background amino-acid probabilities.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5313, doi. 10.1093/bioinformatics/btz568
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Genetic association testing using the GENESIS R/Bioconductor package.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5346, doi. 10.1093/bioinformatics/btz567
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The nPYc-Toolbox, a Python module for the pre-processing, quality-control and analysis of metabolic profiling datasets.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5359, doi. 10.1093/bioinformatics/btz566
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VariantQC: a visual quality control report for variant evaluation.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5370, doi. 10.1093/bioinformatics/btz560
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HDX-Viewer: interactive 3D visualization of hydrogen–deuterium exchange data.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5331, doi. 10.1093/bioinformatics/btz550
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MCMCtreeR: functions to prepare MCMCtree analyses and visualize posterior ages on trees.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5321, doi. 10.1093/bioinformatics/btz554
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DECENT: differential expression with capture efficiency adjustmeNT for single-cell RNA-seq data.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5155, doi. 10.1093/bioinformatics/btz453
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MTTFsite: cross-cell type TF binding site prediction by using multi-task learning.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5067, doi. 10.1093/bioinformatics/btz451
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DDT - Drug Discovery Tool: a fast and intuitive graphics user interface for docking and molecular dynamics analysis.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5328, doi. 10.1093/bioinformatics/btz543
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Benchmarking fold detection by DaliLite v.5.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5326, doi. 10.1093/bioinformatics/btz536
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RTNduals: an R/Bioconductor package for analysis of co-regulation and inference of dual regulons.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5357, doi. 10.1093/bioinformatics/btz534
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JUCHMME: a Java Utility for Class Hidden Markov Models and Extensions for biological sequence analysis.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5309, doi. 10.1093/bioinformatics/btz533
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ValTrendsDB: bringing Protein Data Bank validation information closer to the user.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5389, doi. 10.1093/bioinformatics/btz532
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Comprehensive study of the exposome and omic data using rexposome Bioconductor Packages.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5344, doi. 10.1093/bioinformatics/btz526
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The NEW ESID online database network.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5367, doi. 10.1093/bioinformatics/btz525
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Hydra image processor: 5-D GPU image analysis library with MATLAB and python wrappers.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5393, doi. 10.1093/bioinformatics/btz523
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CytoGPS: a web-enabled karyotype analysis tool for cytogenetics.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5365, doi. 10.1093/bioinformatics/btz520
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KinomeX: a web application for predicting kinome-wide polypharmacology effect of small molecules.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5354, doi. 10.1093/bioinformatics/btz519
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TCR3d: The T cell receptor structural repertoire database.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5323, doi. 10.1093/bioinformatics/btz517
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CaPSSA: visual evaluation of cancer biomarker genes for patient stratification and survival analysis using mutation and expression data.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5341, doi. 10.1093/bioinformatics/btz516
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Interactive exploration of heterogeneous biological networks with Biomine Explorer.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5385, doi. 10.1093/bioinformatics/btz509
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DNN-Dom: predicting protein domain boundary from sequence alone by deep neural network.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5128, doi. 10.1093/bioinformatics/btz464
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New algorithms for detecting multi-effect and multi-way epistatic interactions.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5078, doi. 10.1093/bioinformatics/btz463
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AutoDock CrankPep: combining folding and docking to predict protein–peptide complexes.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5121, doi. 10.1093/bioinformatics/btz459
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Graphlet Laplacians for topology-function and topology-disease relationships.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5226, doi. 10.1093/bioinformatics/btz455
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Improving data splitting for classification applications in spectrochemical analyses employing a random-mutation Kennard-Stone algorithm approach.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5257, doi. 10.1093/bioinformatics/btz421
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Smart computational exploration of stochastic gene regulatory network models using human-in-the-loop semi-supervised learning.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5199, doi. 10.1093/bioinformatics/btz420
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DUETT quantitatively identifies known and novel events in nascent RNA structural dynamics from chemical probing data.
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- Bioinformatics, 2019, v. 35, n. 24, p. 5103, doi. 10.1093/bioinformatics/btz449
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