| Literature DB >> 29982807 |
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Year: 2018 PMID: 29982807 PMCID: PMC6030837 DOI: 10.1093/nar/gky518
Source DB: PubMed Journal: Nucleic Acids Res ISSN: 0305-1048 Impact factor: 16.971
Descriptions of web servers in the NAR 2018 web server issue
| Web server name | URL | Brief description |
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| proteome average amino acid identity comparison |
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| allosteric modulator identification |
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| protein–protein interaction region prediction |
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| secondary metabolite gene clusters (RIPPs, bacteriocins) |
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| nucleotide binding motifs |
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| circular dichroism spectroscopy based protein secondary structure analysis |
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| antibody repertoire analysis |
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| protein subcellular localization prediction |
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| simulation of protein structure flexibility |
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| protein thermal denaturation analysis |
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| topology of protein pockets, cavities and channels |
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| protein binding site cavities |
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| single cell gene expression data search |
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| double-stranded DNA coarse-grain models |
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| circadian rhythm dataset analysis and repository |
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| protein–ligand binding site prediction |
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| genomic location enrichment analysis |
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| protein heterodimer complex residue–residue contact prediction |
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| comparative analyses of plant gene co-expression |
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| guide sequences for CRISPR/Cas9 genome editing |
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| CRISPR array and Cas gene detection |
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| contig scaffolding |
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| carbohydrate-active enzyme annotation |
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| point mutation effects on protein stability and dynamics |
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| protein mobility analysis with fluorescence recovery after photobleaching data |
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| gene set network enrichment analysis |
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| biomedical concept annotation |
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| protein segment modeling of cryo-EM density maps |
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| RNA analysis |
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| population-based distributions of genetic variants |
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| biomedical data analysis workflows |
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| chromatin 3D conformation analysis |
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| integration of drug response, gene expression profiles and mutations for cancer |
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| gene function prediction |
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| viral drug resistance prediction |
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| human tissue-specific gene functional relationships |
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| G protein-coupled receptors structure modeling |
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| protein molecular dynamics residue interaction energies |
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| prioritization of regulatory variants from GWAS data |
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| profile hidden Markov models homology search |
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| protein engineering directed mutation |
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| peptide–protein docking |
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| symmetric protein complex docking |
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| protein–protein docking |
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| protein–protein interactions in multiple species |
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| metabolic pathway visualization and customization |
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| intrinsically disordered protein regions |
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| kinase activating missense mutations prediction |
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| topological analysis of chromosome knots and links |
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| genetic variant information retrieval from PubMed |
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| genomic region enrichment analysis |
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| metabolomics data analysis |
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| metabolic network analysis |
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| prokaryotic genome and metagenome classification |
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| residue pair covariation in protein families |
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| biomolecule channels, tunnels, and pores |
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| protein structure multiple alignment and database search |
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| somatic mutations correlation with genomic, transcriptional and epigenomic features |
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| marine plankton gene geolocation and abundance |
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| PCR primer and hybridization probe design for non-human DNA |
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| molecular interactions networks visualization |
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| origin of transfer sites in bacterial mobile genetic elements |
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| visualization of omics data on KEGG pathways |
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| protein function prediction |
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| DNA and protein sequence pattern search |
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| phytoplankton gene expression profiles |
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| piRNA target prediction |
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| chemical toxicity prediction |
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| plant small RNA target prediction |
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| protein motifs for binding and post-translational modification |
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| PubChem cheminformatics programmatic access |
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| tandem repeats in proteins |
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| RNA secondary structure annotation |
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| DNA regulatory motifs |
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| RNA sequence and structure motifs for RNA binding proteins |
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| SNP functional annotation |
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| analysis of small RNA sequencing data |
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| structure homology modeling for proteins and protein complexes |
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| microRNA set enrichment analysis |
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| T cell receptor structure modeling |
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| coarse-grained simulation of protein structure |
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| disease-causing variants annotation |
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| Gene Ontology visualization |
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| kinase enrichment analysis for differentially expressed gene signatures |
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| proteomics mass spectrometry data analysis |
Figure 1.Clockwise from left: Sean Corbett, David Jenkins and Tyler Faits are PhD students in the Boston University Bioinformatics Graduate Program. Adam Simpkin is a PhD student at the Institute of Integrative Biology, University of Liverpool, UK/Synchrotron SOLEIL, France. They provided outstanding assistance in testing the web server proposal websites.