A Transcriptome Post-Scaffolding Method for Assembling High Quality Contigs

Joint Authors

Myles, Kevin M.
Liu, Mingming
Zhang, Liqing
Adelman, Zach N.

Source

Computational Biology Journal

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-4, 4 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-05-28

Country of Publication

Egypt

No. of Pages

4

Main Subjects

Biology

Abstract EN

With the rapid development of high throughput sequencing technologies, new transcriptomes can be sequenced for little cost with high coverage.

Sequence assembly approaches have been modified to meet the requirements for de novo transcriptomes, which have complications not found in traditional genome assemblies such as variation in coverage for each candidate mRNA and alternative splicing.

As a consequence, de novo assembly strategies tend to generate a large number of redundant contigs due to sequence variations, which adversely affects downstream analysis and experiments.

In this work we proposed TransPS, a transcriptome post-scaffolding method, to generate high quality, nonredundant de novo transcriptomes.

TransPS shows promising results on the test transcriptome datasets, where redundancy is greatly reduced by more than 50% and, at the same time, coverage is improved considerably.

The web server and source code are available.

American Psychological Association (APA)

Liu, Mingming& Adelman, Zach N.& Myles, Kevin M.& Zhang, Liqing. 2014. A Transcriptome Post-Scaffolding Method for Assembling High Quality Contigs. Computational Biology Journal،Vol. 2014, no. 2014, pp.1-4.
https://search.emarefa.net/detail/BIM-511722

Modern Language Association (MLA)

Liu, Mingming…[et al.]. A Transcriptome Post-Scaffolding Method for Assembling High Quality Contigs. Computational Biology Journal No. 2014 (2014), pp.1-4.
https://search.emarefa.net/detail/BIM-511722

American Medical Association (AMA)

Liu, Mingming& Adelman, Zach N.& Myles, Kevin M.& Zhang, Liqing. A Transcriptome Post-Scaffolding Method for Assembling High Quality Contigs. Computational Biology Journal. 2014. Vol. 2014, no. 2014, pp.1-4.
https://search.emarefa.net/detail/BIM-511722

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-511722