Journal
GENOME BIOLOGY
Volume 16, Issue -, Pages -Publisher
BMC
DOI: 10.1186/s13059-015-0596-2
Keywords
-
Funding
- National Science Foundation of China (NSFC) [61432010, 61272016]
- National Institute of Health from the National Center for Research Resources [5P20RR016460-11]
- National Institute of General Medical Sciences [8P20GM103429-11]
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1452211] Funding Source: National Science Foundation
Ask authors/readers for more resources
We present a new de novo transcriptome assembler, Bridger, which takes advantage of techniques employed in Cufflinks to overcome limitations of the existing de novo assemblers. When tested on dog, human, and mouse RNA-seq data, Bridger assembled more full-length reference transcripts while reporting considerably fewer candidate transcripts, hence greatly reducing false positive transcripts in comparison with the state-of-the-art assemblers. It runs substantially faster and requires much less memory space than most assemblers. More interestingly, Bridger reaches a comparable level of sensitivity and accuracy with Cufflinks.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available