TEAM

TEAM facilitates design, management, and analysis of gene panels for targeted enrichment and massive sequencing to identify diagnostic genetic variants in clinical settings.


Key Features:

  • Disease Panel Customization: Defines and customizes gene panels by adding or removing genes and mutations for targeted sequencing panels.
  • Database Integration: Integrates predicted variants with HGMD-public, HUMSAVAR, ClinVar, and COSMIC to search for known disease-related variants.
  • Diagnostic Variant Identification: Identifies primary diagnostic variants associated with specific diseases and, when none are found, produces a list of secondary findings that may contribute to diagnosis.
  • Prediction-to-Diagnosis Linking: Links predicted genetic mutations to diagnostic implications to support interpretation of targeted sequencing results.
  • Application to Targeted Sequencing: Operates on data from targeted enrichment and massive sequencing workflows used in clinical diagnostics.

Scientific Applications:

  • Clinical diagnostics: Supports identification of disease-related mutations from targeted sequencing data for molecular diagnosis.
  • Personalized medicine: Enables interpretation of patient-specific genetic profiles to inform clinical decision-making.
  • Diagnostic panel design: Guides construction and refinement of gene panels for targeted enrichment assays.

Methodology:

Integrates predictive variant analysis with curated databases (HGMD-public, HUMSAVAR, ClinVar, COSMIC) to identify primary diagnostic variants and, if absent, generate secondary findings, and supports modification of gene panel definitions.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
JavaScript
Added:
5/16/2017
Last Updated:
12/10/2018

Operations

Data Inputs & Outputs

Publications

Alemán A, Garcia-Garcia F, Medina I, Dopazo J. A web tool for the design and management of panels of genes for targeted enrichment and massive sequencing for clinical applications. Nucleic Acids Research. 2014;42(W1):W83-W87. doi:10.1093/nar/gku472. PMID:24861626. PMCID:PMC4086136.

Documentation