GTB – an online genome tolerance browser
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- 作者：Hashem A. Shihab ; Mark F. Rogers ; Michael Ferlaino ; Colin Campbell…
- 关键词：SNVs ; Mutation ; Pathogenicity prediction ; Prediction algorithm ; Variant effect prediction ; Genome browser ; Genome tolerance
- 刊名：BMC Bioinformatics
- 出版年：2017
- 出版时间：December 2017
- 年：2017
- 卷：18
- 期：1
- 全文大小：1266KB
- 刊物主题：Bioinformatics; Microarrays; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Algorithms;
- 出版者：BioMed Central
- ISSN：1471-2105
- 卷排序：18
文摘
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.