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Understanding the evolution of functional redundancy in metabolic networks.
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- Bioinformatics, 2018, v. 34, n. 17, p. i981, doi. 10.1093/bioinformatics/bty604
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Towards an accurate and efficient heuristic for species/gene tree co-estimation.
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- Bioinformatics, 2018, v. 34, n. 17, p. i697, doi. 10.1093/bioinformatics/bty599
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VSClust: feature-based variance-sensitive clustering of omics data.
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- Bioinformatics, 2018, v. 34, n. 17, p. 2965, doi. 10.1093/bioinformatics/bty224
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Topology independent structural matching discovers novel templates for protein interfaces.
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- Bioinformatics, 2018, v. 34, n. 17, p. i787, doi. 10.1093/bioinformatics/bty587
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SPhyR: tumor phylogeny estimation from single-cell sequencing data under loss and error.
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- Bioinformatics, 2018, v. 34, n. 17, p. i671, doi. 10.1093/bioinformatics/bty589
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SnapperDB: a database solution for routine sequencing analysis of bacterial isolates.
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- Bioinformatics, 2018, v. 34, n. 17, p. 3028, doi. 10.1093/bioinformatics/bty212
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Single cell network analysis with a mixture of Nested Effects Models.
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- Bioinformatics, 2018, v. 34, n. 17, p. i964, doi. 10.1093/bioinformatics/bty602
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A sequence family database built on ECOD structural domains.
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- Bioinformatics, 2018, v. 34, n. 17, p. 2997, doi. 10.1093/bioinformatics/bty214
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Semantic Disease Gene Embeddings (SmuDGE): phenotype-based disease gene prioritization without phenotypes.
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- Bioinformatics, 2018, v. 34, n. 17, p. i901, doi. 10.1093/bioinformatics/bty559
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S-Cluster++: a fast program for solving the cluster containment problem for phylogenetic networks.
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- Bioinformatics, 2018, v. 34, n. 17, p. i680, doi. 10.1093/bioinformatics/bty594
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scanPAV: a pipeline for extracting presence–absence variations in genome pairs.
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- Bioinformatics, 2018, v. 34, n. 17, p. 3022, doi. 10.1093/bioinformatics/bty189
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Scalable and exhaustive screening of metabolic functions carried out by microbial consortia.
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- Bioinformatics, 2018, v. 34, n. 17, p. i934, doi. 10.1093/bioinformatics/bty588
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- Article
Ribopeaks: a web tool for bacterial classification through m/z data from ribosomal proteins.
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- Bioinformatics, 2018, v. 34, n. 17, p. 3058, doi. 10.1093/bioinformatics/bty215
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Recognition of CRISPR/Cas9 off-target sites through ensemble learning of uneven mismatch distributions.
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- Bioinformatics, 2018, v. 34, n. 17, p. i757, doi. 10.1093/bioinformatics/bty558
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- Article
Quantitative trait loci identification for brain endophenotypes via new additive model with random networks.
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- Bioinformatics, 2018, v. 34, n. 17, p. i866, doi. 10.1093/bioinformatics/bty557
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pysster: classification of biological sequences by learning sequence and structure motifs with convolutional neural networks.
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- Bioinformatics, 2018, v. 34, n. 17, p. 3035, doi. 10.1093/bioinformatics/bty222
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Protein pocket detection via convex hull surface evolution and associated Reeb graph.
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- Bioinformatics, 2018, v. 34, n. 17, p. i830, doi. 10.1093/bioinformatics/bty598
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Prioritising candidate genes causing QTL using hierarchical orthologous groups.
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- Bioinformatics, 2018, v. 34, n. 17, p. i612, doi. 10.1093/bioinformatics/bty615
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Parapred: antibody paratope prediction using convolutional and recurrent neural networks.
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- Bioinformatics, 2018, v. 34, n. 17, p. 2944, doi. 10.1093/bioinformatics/bty305
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piMGM: incorporating multi-source priors in mixed graphical models for learning disease networks.
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- Bioinformatics, 2018, v. 34, n. 17, p. i848, doi. 10.1093/bioinformatics/bty591
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PhyloProfile: dynamic visualization and exploration of multi-layered phylogenetic profiles.
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- Bioinformatics, 2018, v. 34, n. 17, p. 3041, doi. 10.1093/bioinformatics/bty225
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PhenotypeSimulator: A comprehensive framework for simulating multi-trait, multi-locus genotype to phenotype relationships.
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- Bioinformatics, 2018, v. 34, n. 17, p. 2951, doi. 10.1093/bioinformatics/bty197
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Predicting protein–protein interactions through sequence-based deep learning.
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- Bioinformatics, 2018, v. 34, n. 17, p. i802, doi. 10.1093/bioinformatics/bty573
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PAIPline: pathogen identification in metagenomic and clinical next generation sequencing samples.
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- Bioinformatics, 2018, v. 34, n. 17, p. i715, doi. 10.1093/bioinformatics/bty595
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Ontology-based validation and identification of regulatory phenotypes.
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- Bioinformatics, 2018, v. 34, n. 17, p. i857, doi. 10.1093/bioinformatics/bty605
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MDPbiome: microbiome engineering through prescriptive perturbations.
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- Bioinformatics, 2018, v. 34, n. 17, p. i838, doi. 10.1093/bioinformatics/bty562
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Off-target predictions in CRISPR-Cas9 gene editing using deep learning.
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- Bioinformatics, 2018, v. 34, n. 17, p. i656, doi. 10.1093/bioinformatics/bty554
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MP-LAMP: parallel detection of statistically significant multi-loci markers on cloud platforms.
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- Bioinformatics, 2018, v. 34, n. 17, p. 3047, doi. 10.1093/bioinformatics/bty219
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MethylMix 2.0: an R package for identifying DNA methylation genes.
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- Bioinformatics, 2018, v. 34, n. 17, p. 3044, doi. 10.1093/bioinformatics/bty156
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An ontology-based method for assessing batch effect adjustment approaches in heterogeneous datasets.
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- Bioinformatics, 2018, v. 34, n. 17, p. i908, doi. 10.1093/bioinformatics/bty553
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Liquid-chromatography retention order prediction for metabolite identification.
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- Bioinformatics, 2018, v. 34, n. 17, p. i875, doi. 10.1093/bioinformatics/bty590
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LipidPedia: a comprehensive lipid knowledgebase.
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- Bioinformatics, 2018, v. 34, n. 17, p. 2982, doi. 10.1093/bioinformatics/bty213
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Leveraging known genomic variants to improve detection of variants, especially close-by Indels.
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- Bioinformatics, 2018, v. 34, n. 17, p. 2918, doi. 10.1093/bioinformatics/bty183
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Learning structural motif representations for efficient protein structure search.
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- Bioinformatics, 2018, v. 34, n. 17, p. i773, doi. 10.1093/bioinformatics/bty585
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JAMI: fast computation of conditional mutual information for ceRNA network analysis.
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- Bioinformatics, 2018, v. 34, n. 17, p. 3050, doi. 10.1093/bioinformatics/bty221
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IRSOM, a reliable identifier of ncRNAs based on supervised self-organizing maps with rejection.
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- Bioinformatics, 2018, v. 34, n. 17, p. i620, doi. 10.1093/bioinformatics/bty572
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- Article
iTOP: inferring the topology of omics data.
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- Bioinformatics, 2018, v. 34, n. 17, p. i988, doi. 10.1093/bioinformatics/bty636
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- Article
IRscope: an online program to visualize the junction sites of chloroplast genomes.
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- Bioinformatics, 2018, v. 34, n. 17, p. 3030, doi. 10.1093/bioinformatics/bty220
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iCFN: an efficient exact algorithm for multistate protein design.
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- Bioinformatics, 2018, v. 34, n. 17, p. i811, doi. 10.1093/bioinformatics/bty564
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Inference of the human polyadenylation code.
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- Bioinformatics, 2018, v. 34, n. 17, p. 2889, doi. 10.1093/bioinformatics/bty211
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Identification and function of FAR protein family genes from a transcriptome analysis of Aphelenchoides besseyi.
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- Bioinformatics, 2018, v. 34, n. 17, p. 2936, doi. 10.1093/bioinformatics/bty209
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Insights on the alteration of functionality of a tyrosine kinase 2 variant: a molecular dynamics study.
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- Bioinformatics, 2018, v. 34, n. 17, p. i781, doi. 10.1093/bioinformatics/bty556
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Higher-order molecular organization as a source of biological function.
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- Bioinformatics, 2018, v. 34, n. 17, p. i944, doi. 10.1093/bioinformatics/bty570
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Hierarchical HotNet: identifying hierarchies of altered subnetworks.
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- Bioinformatics, 2018, v. 34, n. 17, p. i972, doi. 10.1093/bioinformatics/bty613
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GGRaSP: a R-package for selecting representative genomes using Gaussian mixture models.
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- Bioinformatics, 2018, v. 34, n. 17, p. 3032, doi. 10.1093/bioinformatics/bty300
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Genome-by-genome approach for fast bacterial genealogical relationship evaluation.
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- Bioinformatics, 2018, v. 34, n. 17, p. 3025, doi. 10.1093/bioinformatics/bty195
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Generalizing biomedical relation classification with neural adversarial domain adaptation.
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- Bioinformatics, 2018, v. 34, n. 17, p. 2973, doi. 10.1093/bioinformatics/bty190
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GARFIELD-NGS: Genomic vARiants FIltering by dEep Learning moDels in NGS.
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- Bioinformatics, 2018, v. 34, n. 17, p. 3038, doi. 10.1093/bioinformatics/bty303
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FLYCOP: metabolic modeling-based analysis and engineering microbial communities.
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- Bioinformatics, 2018, v. 34, n. 17, p. i954, doi. 10.1093/bioinformatics/bty561
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fastp: an ultra-fast all-in-one FASTQ preprocessor.
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- Bioinformatics, 2018, v. 34, n. 17, p. i884, doi. 10.1093/bioinformatics/bty560
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