Computational enhancer prediction: evaluation and improvements
Abstract Background Identifying transcriptional enhancers and other cis-regulatory modules (CRMs) is an important goal of post-sequencing genome annotation. Computational approaches provide a useful complement to empirical methods for CRM discovery, but it is critical that we develop effective means...
Main Authors: | Hasiba Asma, Marc S. Halfon |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2019-04-01
|
Series: | BMC Bioinformatics |
Online Access: | http://link.springer.com/article/10.1186/s12859-019-2781-x |
Similar Items
-
Annotating the Insect Regulatory Genome
by: Hasiba Asma, et al.
Published: (2021-06-01) -
Taxpayer rights and protection of these rights in Serbia
by: Hrustić Hasiba
Published: (2015-01-01) -
Tax treatment of status change of commercial companies
by: Hrustić Hasiba
Published: (2018-01-01) -
The tax refund to the first residential flat buyer
by: Hrustić Hasiba
Published: (2017-01-01) -
THE RELEVANT EXCHANGE OF EU COMMON SYSTEM OF VAT
by: Hasiba Hrustić
Published: (2009-12-01)