NGS-Integrator: An efficient tool for combining multiple NGS data tracks using minimum Bayes’ factors
Abstract Background Next-generation sequencing (NGS) is widely used for genome-wide identification and quantification of DNA elements involved in the regulation of gene transcription. Studies that generate multiple high-throughput NGS datasets require data integration methods for two general tasks:...
Main Authors: | Bronte Wen, Hyun Jun Jung, Lihe Chen, Fahad Saeed, Mark A. Knepper |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2020-11-01
|
Series: | BMC Genomics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12864-020-07220-7 |
Similar Items
-
CSI NGS Portal: An Online Platform for Automated NGS Data Analysis and Sharing
by: Omer An, et al.
Published: (2020-05-01) -
DuplicationDetector, a light weight tool for duplication detection using NGS data
by: Gustave Djedatin, et al.
Published: (2017-06-01) -
Performance evaluation of pipelines for mapping, variant calling and interval padding, for the analysis of NGS germline panels
by: Maria Zanti, et al.
Published: (2021-04-01) -
Survey of the Applications of NGS to Whole-Genome Sequencing and Expression Profiling
by: Jong-Sung Lim, et al.
Published: (2012-03-01) -
GASAL2: a GPU accelerated sequence alignment library for high-throughput NGS data
by: Nauman Ahmed, et al.
Published: (2019-10-01)