In:
Bioinformatics, Oxford University Press (OUP), Vol. 28, No. 12 ( 2012-06-15), p. i172-i178
Abstract:
Motivation: Shotgun sequence read data derived from xenograft material contains a mixture of reads arising from the host and reads arising from the graft. Classifying the read mixture to separate the two allows for more precise analysis to be performed. Results: We present a technique, with an associated tool Xenome, which performs fast, accurate and specific classification of xenograft-derived sequence read data. We have evaluated it on RNA-Seq data from human, mouse and human-in-mouse xenograft datasets. Availability: Xenome is available for non-commercial use from http://www.nicta.com.au/bioinformatics Contact: tom.conway@nicta.com.au
Type of Medium:
Online Resource
ISSN:
1367-4811
,
1367-4803
DOI:
10.1093/bioinformatics/bts236
Language:
English
Publisher:
Oxford University Press (OUP)
Publication Date:
2012
detail.hit.zdb_id:
1468345-3
SSG:
12