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

Role of in silico tools in gene discovery.

Molecular biotechnology - 1 Mar 2009

Yu Bing

Abstract excerpt

Common complex diseases remain a major health challenge and involve the interaction of multiple genes and environmental factors. Discovering the relevant genes is difficult although it is known that disease risk can originate from the variation of an individual's genome. Application of in silico tools can significantly improve the detection of genes and variation. Data mining and automated tracking of new...

Read the complete abstract on PubMed

Topics

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

Share to Genomics
Share to Phenotype
Share to Databases, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Variation

Share to Chromosome Mapping

Share to Computer Simulation

Source

Identifiers

PMID: 19101827
DOI: 10.1007/s12033-008-9134-8

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

Role of in silico tools in gene discovery.PMID 19101827Read ↗

In silico gene discovery.Semantic proximity Read ↗

Genetic variation analysis for biomedical researchers: a primer.Semantic proximity Read ↗

Lost in the space of bioinformatic tools: a constantly updated survival guide for genetic epidemiology. The GenEpi Toolbox.Semantic proximity Read ↗

Applying in silico integrative genomics to genetic studies of human disease.Semantic proximity Read ↗

Web tools for the prioritization of candidate disease genes.Semantic proximity Read ↗

The prediction of disease risk in genomic medicine.Semantic proximity Read ↗

Candidate gene discovery and prioritization in rare diseases.Semantic proximity Read ↗

The reliable identification of disease-gene associations.Semantic proximity Read ↗

Identification of disease genes.Semantic proximity Read ↗

Major gene analysis for diseases and disorders of complex etiology.Semantic proximity Read ↗

Statistical and Computational Methods for Genetic Diseases: An Overview.Semantic proximity Read ↗

Demystifying non-coding GWAS variants: an overview of computational tools and methods.Semantic proximity Read ↗

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