Performance assessment of variant calling pipelines using human whole exome sequencing and simulated data
Abstract Background Whole exome sequencing (WES) is a cost-effective method that identifies clinical variants but it demands accurate variant caller tools. Currently available tools have variable accuracy in predicting specific clinical variants. But it may be possible to find the best combination o...
Main Authors: | Manojkumar Kumaran, Umadevi Subramanian, Bharanidharan Devarajan |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2019-06-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-019-2928-9 |
Similar Items
-
BALSA: integrated secondary analysis for whole-genome and whole-exome sequencing, accelerated by GPU
by: Ruibang Luo, et al.
Published: (2014-06-01) -
Intersect-then-combine approach: improving the performance of somatic variant calling in whole exome sequencing data using multiple aligners and callers
by: Maurizio Callari, et al.
Published: (2017-04-01) -
Whole Exome-Trio Analysis Reveals Rare Variants Associated with Congenital Pouch Colon
by: Sonal Gupta, et al.
Published: (2023-05-01) -
JWES: a new pipeline for whole genome/exome sequence data processing, management, and gene‐variant discovery, annotation, prediction, and genotyping
by: Zeeshan Ahmed, et al.
Published: (2021-09-01) -
Challenges imposed by minor reference alleles on the identification and reporting of clinical variants from exome data
by: Mahmoud Koko, et al.
Published: (2018-01-01)