Published January 2013
| Supplemental Material + Accepted Version
Journal Article
Open
Streaming fragment assignment for real-time analysis of sequencing experiments
- Creators
- Roberts, Adam
-
Pachter, Lior
Chicago
Abstract
We present eXpress, a software package for efficient probabilistic assignment of ambiguously mapping sequenced fragments. eXpress uses a streaming algorithm with linear run time and constant memory use. It can determine abundances of sequenced molecules in real time and can be applied to ChIP-seq, metagenomics and other large-scale sequencing data. We demonstrate its use on RNA-seq data and show that eXpress achieves greater efficiency than other quantification methods.
Additional Information
© 2012 Macmillan Publishers Limited. Received 30 April 2012. Accepted 26 October 2012. Published online 18 November 2012. Corrected online 04 December 2012. This work was supported by US National Institutes of Health grant R01HG006129. A.R. was supported in part by a National Science Foundation graduate research fellowship. We thank H. Pimentel for developing Map2GTF for converting genome mappings to transcriptome mappings and incorporating it into TopHat to help with our analysis. Author Contributions: A.R. and L.P. developed the mathematics and statistics and designed the algorithms. A.R. implemented the method in eXpress. A.R. and L.P. tested the software and performed the analysis. A.R. and L.P. wrote the manuscript. The authors declare no competing financial interests.Errata
Corrected online 04 December 2012 In the HTML version of this article initially published online, errors in mathematical terms were present in the Online Methods section. The errors have been corrected in the HTML version.Attached Files
Accepted Version - nihms417955.pdf
Supplemental Material - nmeth.2251-S1.pdf
Supplemental Material - nmeth.2251-S2.zip
Files
nmeth.2251-S2.zip
Additional details
- PMCID
- PMC3880119
- Eprint ID
- 74746
- DOI
- 10.1038/nmeth.2251
- Resolver ID
- CaltechAUTHORS:20170303-163300268
- NIH
- R01 HG006129
- NSF Graduate Research Fellowship
- Created
-
2017-03-06Created from EPrint's datestamp field
- Updated
-
2021-11-11Created from EPrint's last_modified field