GTB – an online genome tolerance browser

BMC Bioinformatics

Database

Colin Campbell¹  Mark F. Rogers¹  Michael Ferlaino¹  Hashem A. Shihab²  Tom R. Gaunt² 

[1] Intelligent Systems Laboratory, University of Bristol, BS8 1UB, Bristol, UK;MRC Integrative Epidemiology Unit (IEU), University of Bristol, BS8 2BN, Bristol, UK;

关键词: SNVs;    Mutation;    Pathogenicity prediction;    Prediction algorithm;    Variant effect prediction;    Genome browser;    Genome tolerance;   

DOI  :  10.1186/s12859-016-1436-4

 received in 2016-03-18, accepted in 2016-12-17,  发布年份 2017

来源: Springer

【 摘 要 】

BackgroundAccurate methods capable of predicting the impact of single nucleotide variants (SNVs) are assuming ever increasing importance. There exists a plethora of in silico algorithms designed to help identify and prioritize SNVs across the human genome for further investigation. However, no tool exists to visualize the predicted tolerance of the genome to mutation, or the similarities between these methods.ResultsWe present the Genome Tolerance Browser (GTB, http://gtb.biocompute.org.uk): an online genome browser for visualizing the predicted tolerance of the genome to mutation. The server summarizes several in silico prediction algorithms and conservation scores: including 13 genome-wide prediction algorithms and conservation scores, 12 non-synonymous prediction algorithms and four cancer-specific algorithms.ConclusionThe GTB enables users to visualize the similarities and differences between several prediction algorithms and to upload their own data as additional tracks; thereby facilitating the rapid identification of potential regions of interest.

【 授权许可】

CC BY   
© The Author(s). 2017