Works matching IS 13674803 AND DT 2020 AND VI 36 AND IP 15
Results: 30
AOP4EUpest: mapping of pesticides in adverse outcome pathways using a text mining tool.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4379, doi. 10.1093/bioinformatics/btaa545
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GLASSgo in Galaxy: high-throughput, reproducible and easy-to-integrate prediction of sRNA homologs.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4357, doi. 10.1093/bioinformatics/btaa556
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AnthOligo: automating the design of oligonucleotides for capture/enrichment technologies.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4353, doi. 10.1093/bioinformatics/btaa552
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Coronavirus3D: 3D structural visualization of COVID-19 genomic divergence.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4360, doi. 10.1093/bioinformatics/btaa550
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bGWAS: an R package to perform Bayesian genome wide association studies.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4374, doi. 10.1093/bioinformatics/btaa549
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Audit logs to enforce document integrity in Skyline and Panorama.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4366, doi. 10.1093/bioinformatics/btaa547
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CoMut: visualizing integrated molecular information with comutation plots.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4348, doi. 10.1093/bioinformatics/btaa554
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TissUUmaps: interactive visualization of large-scale spatial gene expression and tissue morphology data.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4363, doi. 10.1093/bioinformatics/btaa541
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Dataset-aware multi-task learning approaches for biomedical named entity recognition.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4331, doi. 10.1093/bioinformatics/btaa515
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MetaSanity: an integrated microbial genome evaluation and annotation pipeline.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4341, doi. 10.1093/bioinformatics/btaa512
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BioPAX-Parser: parsing and enrichment analysis of BioPAX pathways.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4377, doi. 10.1093/bioinformatics/btaa529
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PASSION: an ensemble neural network approach for identifying the binding sites of RBPs on circRNAs.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4276, doi. 10.1093/bioinformatics/btaa522
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DeepTE: a computational method for de novo classification of transposons with convolutional neural network.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4269, doi. 10.1093/bioinformatics/btaa519
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Palantir: a springboard for the analysis of secondary metabolite gene clusters in large-scale genome mining projects.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4345, doi. 10.1093/bioinformatics/btaa517
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ESTIpop: a computational tool to simulate and estimate parameters for continuous-time Markov branching processes.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4372, doi. 10.1093/bioinformatics/btaa526
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Identification of population-level differentially expressed genes in one-phenotype data.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4283, doi. 10.1093/bioinformatics/btaa523
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Chemical–protein interaction extraction via Gaussian probability distribution and external biomedical knowledge.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4323, doi. 10.1093/bioinformatics/btaa491
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Integrating biological knowledge and gene expression data using pathway-guided random forests: a benchmarking study.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4301, doi. 10.1093/bioinformatics/btaa483
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COMUNET: a tool to explore and visualize intercellular communication.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4296, doi. 10.1093/bioinformatics/btaa482
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A multimodal deep learning framework for predicting drug–drug interaction events.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4316, doi. 10.1093/bioinformatics/btaa501
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iSOM-GSN: an integrative approach for transforming multi-omic data into gene similarity networks via self-organizing maps.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4248, doi. 10.1093/bioinformatics/btaa500
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AlphaFamImpute: high-accuracy imputation in full-sib families from genotype-by-sequencing data.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4369, doi. 10.1093/bioinformatics/btaa499
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MinReact: a systematic approach for identifying minimal metabolic networks.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4309, doi. 10.1093/bioinformatics/btaa497
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HALPER facilitates the identification of regulatory element orthologs across species.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4339, doi. 10.1093/bioinformatics/btaa493
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Basic polar and hydrophobic properties are the main characteristics that affect the binding of transcription factors to methylation sites.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4263, doi. 10.1093/bioinformatics/btaa492
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An ultra-sensitive T-cell receptor detection method for TCR-Seq and RNA-Seq data.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4255, doi. 10.1093/bioinformatics/btaa432
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Accurate calling of homeoallelic genotypes of iSelect markers using inbred structured populations.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4240, doi. 10.1093/bioinformatics/btaa295
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scDoc: correcting drop-out events in single-cell RNA-seq data.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4233, doi. 10.1093/bioinformatics/btaa283
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DNA Features Viewer: a sequence annotation formatting and plotting library for Python.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4350, doi. 10.1093/bioinformatics/btaa213
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Automatic identification of relevant genes from low-dimensional embeddings of single-cell RNA-seq data.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4291, doi. 10.1093/bioinformatics/btaa198
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