DECA: scalable XHMM exome copy-number variant calling with ADAM and Apache Spark
Abstract Background XHMM is a widely used tool for copy-number variant (CNV) discovery from whole exome sequencing data but can require hours to days to run for large cohorts. A more scalable implementation would reduce the need for specialized computational resources and enable increased exploratio...
Main Authors: | Michael D. Linderman, Davin Chia, Forrest Wallace, Frank A. Nothaft |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2019-10-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-019-3108-7 |
Similar Items
-
IDENTIFYING SOMATIC COPY NUMBER ABERRATIONS WITHIN GLIOBLASTOMA MULTIFORME AND LOW GRADE GLIOMAS USING BIOINFORMATICS TOOLS EXCAVATOR AND XHMM
by: Pathak, Vaibhav Sanjay
Published: (2016) -
Pre-capture multiplexing provides additional power to detect copy number variation in exome sequencing
by: Dayne L. Filer, et al.
Published: (2021-07-01) -
Platform comparison of detecting copy number variants with microarrays and whole-exome sequencing
by: Joep de Ligt, et al.
Published: (2014-12-01) -
A highly sensitive and specific workflow for detecting rare copy-number variants from exome sequencing data
by: Ramakrishnan Rajagopalan, et al.
Published: (2020-01-01) -
Anaconda: AN automated pipeline for somatic COpy Number variation Detection and Annotation from tumor exome sequencing data
by: Jianing Gao, et al.
Published: (2017-10-01)