Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

MEGA-MD: molecular evolutionary genetics analysis software with mutational diagnosis of amino acid variation.

Bioinformatics (Oxford, England) - 1 May 2014

Stecher Glen, Liu Li, Sanderford Maxwell, Peterson Daniel, Tamura Koichiro, Kumar Sudhir

Abstract excerpt

Computational diagnosis of amino acid variants in the human exome is the first step in assessing the disruptive impacts of non-synonymous single nucleotide variants (nsSNVs) on human health and disease. The Molecular Evolutionary Genetics Analysis software with mutational diagnosis (MEGA-MD) is a suite of tools developed to forecast the deleteriousness of nsSNVs using multiple methods and to explore nsSNVs in the...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Amino Acids
Share to Evolution, Molecular

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to High-Throughput Nucleotide Sequencing

Share to Mutation

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 24413669
DOI: 10.1093/bioinformatics/btu018
PMCID: PMC3998139

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

MEGA-MD: molecular evolutionary genetics analysis software with mutational diagnosis of amino acid variation.PMID 24413669Read ↗

Sequence-based prediction of pathological mutations.Semantic proximity Read ↗

A Broad Overview of Computational Methods for Predicting the Pathophysiological Effects of Non-synonymous Variants.Semantic proximity Read ↗

HDAM: a resource of human disease associated mutations from next generation sequencing studies.Semantic proximity Read ↗

Phylomedicine: an evolutionary telescope to explore and diagnose the universe of disease mutations.Semantic proximity Read ↗

Evaluation of computational techniques for predicting non-synonymous single nucleotide variants pathogenicity.Semantic proximity Read ↗

An integrative framework for clinical diagnosis and knowledge discovery from exome sequencing data.Semantic proximity Read ↗

GESPA: classifying nsSNPs to predict disease association.Semantic proximity Read ↗

Amino acid changes in disease-associated variants differ radically from variants observed in the 1000 genomes project dataset.Semantic proximity Read ↗

Analysis and prediction of the effects of single amino acid variants in human diseaseSemantic proximity Read ↗

nsSNPAnalyzer: identifying disease-associated nonsynonymous single nucleotide polymorphisms.Semantic proximity Read ↗

Multilayer view of pathogenic SNVs in human interactome through <i>in-silico</i> edgetic profilingSemantic proximity Read ↗

DiMSum: an error model and pipeline for analyzing deep mutational scanning data and diagnosing common experimental pathologies.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.