IDBA-tran: a more robust de novo de Bruijn graph assembler for transcriptomes with uneven expression levels
Motivation: RNA sequencing based on next-generation sequencing technology is effective for analyzing transcriptomes. Like de novo genome assembly, de novo transcriptome assembly does not rely on any reference genome or additional annotation information, but is more difficult. In particular, isoforms...
Main Authors: | , , , , , |
---|---|
Format: | Online |
Language: | English |
Published: |
Oxford University Press
2013
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3694675/ |
id |
pubmed-3694675 |
---|---|
recordtype |
oai_dc |
spelling |
pubmed-36946752013-06-27 IDBA-tran: a more robust de novo de Bruijn graph assembler for transcriptomes with uneven expression levels Peng, Yu Leung, Henry C. M. Yiu, Siu-Ming Lv, Ming-Ju Zhu, Xin-Guang Chin, Francis Y. L. Ismb/Eccb 2013 Proceedings Papers Committee July 21 to July 23, 2013, Berlin, Germany Motivation: RNA sequencing based on next-generation sequencing technology is effective for analyzing transcriptomes. Like de novo genome assembly, de novo transcriptome assembly does not rely on any reference genome or additional annotation information, but is more difficult. In particular, isoforms can have very uneven expression levels (e.g. 1:100), which make it very difficult to identify low-expressed isoforms. One challenge is to remove erroneous vertices/edges with high multiplicity (produced by high-expressed isoforms) in the de Bruijn graph without removing correct ones with not-so-high multiplicity from low-expressed isoforms. Failing to do so will result in the loss of low-expressed isoforms or having complicated subgraphs with transcripts of different genes mixed together due to erroneous vertices/edges. Oxford University Press 2013-07-01 2013-06-19 /pmc/articles/PMC3694675/ /pubmed/23813001 http://dx.doi.org/10.1093/bioinformatics/btt219 Text en © The Author 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
repository_type |
Open Access Journal |
institution_category |
Foreign Institution |
institution |
US National Center for Biotechnology Information |
building |
NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
author |
Peng, Yu Leung, Henry C. M. Yiu, Siu-Ming Lv, Ming-Ju Zhu, Xin-Guang Chin, Francis Y. L. |
spellingShingle |
Peng, Yu Leung, Henry C. M. Yiu, Siu-Ming Lv, Ming-Ju Zhu, Xin-Guang Chin, Francis Y. L. IDBA-tran: a more robust de novo de Bruijn graph assembler for transcriptomes with uneven expression levels |
author_facet |
Peng, Yu Leung, Henry C. M. Yiu, Siu-Ming Lv, Ming-Ju Zhu, Xin-Guang Chin, Francis Y. L. |
author_sort |
Peng, Yu |
title |
IDBA-tran: a more robust de novo de Bruijn graph assembler for transcriptomes with uneven expression levels |
title_short |
IDBA-tran: a more robust de novo de Bruijn graph assembler for transcriptomes with uneven expression levels |
title_full |
IDBA-tran: a more robust de novo de Bruijn graph assembler for transcriptomes with uneven expression levels |
title_fullStr |
IDBA-tran: a more robust de novo de Bruijn graph assembler for transcriptomes with uneven expression levels |
title_full_unstemmed |
IDBA-tran: a more robust de novo de Bruijn graph assembler for transcriptomes with uneven expression levels |
title_sort |
idba-tran: a more robust de novo de bruijn graph assembler for transcriptomes with uneven expression levels |
description |
Motivation: RNA sequencing based on next-generation sequencing technology is effective for analyzing transcriptomes. Like de novo genome assembly, de novo transcriptome assembly does not rely on any reference genome or additional annotation information, but is more difficult. In particular, isoforms can have very uneven expression levels (e.g. 1:100), which make it very difficult to identify low-expressed isoforms. One challenge is to remove erroneous vertices/edges with high multiplicity (produced by high-expressed isoforms) in the de Bruijn graph without removing correct ones with not-so-high multiplicity from low-expressed isoforms. Failing to do so will result in the loss of low-expressed isoforms or having complicated subgraphs with transcripts of different genes mixed together due to erroneous vertices/edges. |
publisher |
Oxford University Press |
publishDate |
2013 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3694675/ |
_version_ |
1611990059222827008 |