Works matching IS 13674803 AND DT 2019 AND VI 35 AND IP 12
Results: 27
Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2075, doi. 10.1093/bioinformatics/bty943
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Metrics for regulated biochemical pathway systems.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2118, doi. 10.1093/bioinformatics/bty942
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SeQuiLa: an elastic, fast and scalable SQL-oriented solution for processing and querying genomic intervals.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2156, doi. 10.1093/bioinformatics/bty940
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Pan-genomic analysis provides novel insights into the association of E.coli with human host and its minimal genome.
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- Bioinformatics, 2019, v. 35, n. 12, p. 1987, doi. 10.1093/bioinformatics/bty938
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FactorialHMM: fast and exact inference in factorial hidden Markov models.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2162, doi. 10.1093/bioinformatics/bty944
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Identifying antimicrobial peptides using word embedding with deep recurrent neural networks.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2009, doi. 10.1093/bioinformatics/bty937
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Index suffix–prefix overlaps by (w , k)-minimizer to generate long contigs for reads compression.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2066, doi. 10.1093/bioinformatics/bty936
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dtangle: accurate and robust cell type deconvolution.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2093, doi. 10.1093/bioinformatics/bty926
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Bastion3: a two-layer ensemble predictor of type III secreted effectors.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2017, doi. 10.1093/bioinformatics/bty914
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High efficiency referential genome compression algorithm.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2058, doi. 10.1093/bioinformatics/bty934
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OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2133, doi. 10.1093/bioinformatics/bty933
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BacPaCS—Bacterial Pathogenicity Classification via Sparse-SVM.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2001, doi. 10.1093/bioinformatics/bty928
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Whisper: read sorting allows robust mapping of DNA sequencing data.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2043, doi. 10.1093/bioinformatics/bty927
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DeepT3: deep convolutional neural networks accurately identify Gram-negative bacterial type III secreted effectors using the N-terminal sequence.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2051, doi. 10.1093/bioinformatics/bty931
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Clusterdv: a simple density-based clustering method that is robust, general and automatic.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2125, doi. 10.1093/bioinformatics/bty932
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SJARACNe: a scalable software tool for gene network reverse engineering from big data.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2165, doi. 10.1093/bioinformatics/bty907
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Drug-Side Effect Context-Sensitive Network approach for drug target prediction.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2100, doi. 10.1093/bioinformatics/bty906
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MAGpy: a reproducible pipeline for the downstream analysis of metagenome-assembled genomes (MAGs).
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- Bioinformatics, 2019, v. 35, n. 12, p. 2150, doi. 10.1093/bioinformatics/bty905
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Improved inference of intermolecular contacts through protein–protein interaction prediction using coevolutionary analysis.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2036, doi. 10.1093/bioinformatics/bty924
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Computational modeling of cellular structures using conditional deep generative networks.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2141, doi. 10.1093/bioinformatics/bty923
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Measurement error and variant-calling in deep Illumina sequencing of HIV.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2029, doi. 10.1093/bioinformatics/bty919
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Partially non-homogeneous dynamic Bayesian networks based on Bayesian regression models with partitioned design matrices.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2108, doi. 10.1093/bioinformatics/bty917
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GRNBoost2 and Arboreto: efficient and scalable inference of gene regulatory networks.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2159, doi. 10.1093/bioinformatics/bty916
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wgd—simple command line tools for the analysis of ancient whole-genome duplications.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2153, doi. 10.1093/bioinformatics/bty915
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BayMAP: a Bayesian hierarchical model for the analysis of PAR-CLIP data.
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- Bioinformatics, 2019, v. 35, n. 12, p. 1992, doi. 10.1093/bioinformatics/bty904
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Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2084, doi. 10.1093/bioinformatics/bty895
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RETRACTED: Analysis and prediction of β-turn types using multinomial logistic regression and artificial neural network.
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- Bioinformatics, 2019, v. 35, n. 12, p. e8, doi. 10.1093/bioinformatics/btm094
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