A Survey of Computational Tools to Analyze and Interpret Whole Exome Sequencing Data
Joint Authors
Hintzsche, Jennifer D.
Robinson, William A.
Tan, Aik Choon
Source
International Journal of Genomics
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-14
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Whole Exome Sequencing (WES) is the application of the next-generation technology to determine the variations in the exome and is becoming a standard approach in studying genetic variants in diseases.
Understanding the exomes of individuals at single base resolution allows the identification of actionable mutations for disease treatment and management.
WES technologies have shifted the bottleneck in experimental data production to computationally intensive informatics-based data analysis.
Novel computational tools and methods have been developed to analyze and interpret WES data.
Here, we review some of the current tools that are being used to analyze WES data.
These tools range from the alignment of raw sequencing reads all the way to linking variants to actionable therapeutics.
Strengths and weaknesses of each tool are discussed for the purpose of helping researchers make more informative decisions on selecting the best tools to analyze their WES data.
American Psychological Association (APA)
Hintzsche, Jennifer D.& Robinson, William A.& Tan, Aik Choon. 2016. A Survey of Computational Tools to Analyze and Interpret Whole Exome Sequencing Data. International Journal of Genomics،Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1106187
Modern Language Association (MLA)
Hintzsche, Jennifer D.…[et al.]. A Survey of Computational Tools to Analyze and Interpret Whole Exome Sequencing Data. International Journal of Genomics No. 2016 (2016), pp.1-16.
https://search.emarefa.net/detail/BIM-1106187
American Medical Association (AMA)
Hintzsche, Jennifer D.& Robinson, William A.& Tan, Aik Choon. A Survey of Computational Tools to Analyze and Interpret Whole Exome Sequencing Data. International Journal of Genomics. 2016. Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1106187
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1106187