SoftPanel

SoftPanel generates customized gene panels for targeted next-generation sequencing (NGS) to identify and prioritize candidate disease genes.


Key Features:

  • Customizable Gene Panels: Accepts a single disorder or a group of related disorders as input to produce a list of genes predicted to underlie the condition(s).
  • Multiple Retrieval Methods: Compiles disorder groups using keyword searches, an arborized list of International Classification of Diseases (ICD-10) codes, or phenotypic similarity analysis.
  • Gene List Expansion and Refinement: Integrates multiple biological data resources to expand and refine candidate gene lists.
  • Hard and Soft Panel Generation: Produces "hard" panels as exact gene lists for targeted sequencing and "soft" panels to filter significantly altered gene sets from whole genome or exome sequencing for candidate prioritization.
  • Improved Sensitivity and Specificity: Focuses sequencing on high-priority genes to increase sensitivity and specificity relative to broader genome or exome approaches.

Scientific Applications:

  • Genomics Research: Enables creation of disorder- or phenotype-specific targeted panels to support identification of potential disease genes.
  • Personalized Medicine: Facilitates generation of customized panels to inform diagnostic and therapeutic decision-making based on individual genetic profiles.

Methodology:

Compiles gene lists via keyword searches, ICD-10 code browsing, and phenotypic similarity analysis, and integrates multiple biological data resources to expand or refine those lists.

Topics

Details

License:
GPL-3.0
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
JavaScript, R
Added:
5/5/2018
Last Updated:
12/10/2018

Operations

Publications

Wang L, Zhang C, Watkins J, Jin Y, McNutt M, Yin Y. SoftPanel: a website for grouping diseases and related disorders for generation of customized panels. BMC Bioinformatics. 2016;17(1). doi:10.1186/s12859-016-0998-5. PMID:27044653. PMCID:PMC4820874.

PMID: 27044653
PMCID: PMC4820874
Funding: - National Natural Science Foundation of China: No.31401132, No.81321003

Documentation