Software
From Jie Wu Home Page
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[[Image:OLego.png |300px]] | [[Image:OLego.png |300px]] | ||
| − | OLego is a program specifically designed for de novo spliced mapping of mRNA-seq reads. OLego adopts a multiple-seed-and-extend scheme, and does not rely on a separate external mapper. It achieves high sensitivity of junction detection by using very small seeds (12-14 nt), efficiently mapped using Burrows-Wheeler transform (BWT) and FM-index. This also makes it particularly sensitive for discovering small exons. It is implemented in C++ with full support of multiple threading, to allow fast processing of large-scale data. | + | [http://zhanglab.c2b2.columbia.edu/index.php/OLego OLego] is a program specifically designed for de novo spliced mapping of mRNA-seq reads. OLego adopts a multiple-seed-and-extend scheme, and does not rely on a separate external mapper. It achieves high sensitivity of junction detection by using very small seeds (12-14 nt), efficiently mapped using Burrows-Wheeler transform (BWT) and FM-index. This also makes it particularly sensitive for discovering small exons. It is implemented in C++ with full support of multiple threading, to allow fast processing of large-scale data. |
This work was published on NAR 2013. | This work was published on NAR 2013. | ||
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[[Image:splicetrap.jpg |300px]] | [[Image:splicetrap.jpg |300px]] | ||
| − | SpliceTrap is a statistic tool for quantifying exon inclusion ratios in paired-end RNA-seq data, with broad applications for the study of alternative splicing. SpliceTrap approaches to exon inclusion level estimation as a Bayesian inference problem. For every exon it quantifies the extent to which it is included, skipped or subjected to size variations due to alternative 3’/5’ splice sites or Intron Retention. In addition, SpliceTrap can quantify alternative splicing within a single cellular condition, with no need of a background set of reads. | + | [http://rulai.cshl.edu/splicetrap/ SpliceTrap] is a statistic tool for quantifying exon inclusion ratios in paired-end RNA-seq data, with broad applications for the study of alternative splicing. SpliceTrap approaches to exon inclusion level estimation as a Bayesian inference problem. For every exon it quantifies the extent to which it is included, skipped or subjected to size variations due to alternative 3’/5’ splice sites or Intron Retention. In addition, SpliceTrap can quantify alternative splicing within a single cellular condition, with no need of a background set of reads. |
This work was published on Bioinformatics, 2011 [http://bioinformatics.oxfordjournals.org/content/27/21/3010.long Link] | This work was published on Bioinformatics, 2011 [http://bioinformatics.oxfordjournals.org/content/27/21/3010.long Link] | ||
Revision as of 17:45, 23 March 2013
OLego
OLego is a program specifically designed for de novo spliced mapping of mRNA-seq reads. OLego adopts a multiple-seed-and-extend scheme, and does not rely on a separate external mapper. It achieves high sensitivity of junction detection by using very small seeds (12-14 nt), efficiently mapped using Burrows-Wheeler transform (BWT) and FM-index. This also makes it particularly sensitive for discovering small exons. It is implemented in C++ with full support of multiple threading, to allow fast processing of large-scale data.
This work was published on NAR 2013.
SpliceTrap
SpliceTrap is a statistic tool for quantifying exon inclusion ratios in paired-end RNA-seq data, with broad applications for the study of alternative splicing. SpliceTrap approaches to exon inclusion level estimation as a Bayesian inference problem. For every exon it quantifies the extent to which it is included, skipped or subjected to size variations due to alternative 3’/5’ splice sites or Intron Retention. In addition, SpliceTrap can quantify alternative splicing within a single cellular condition, with no need of a background set of reads.
This work was published on Bioinformatics, 2011 Link