Difference between revisions of "Cufflinks"
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|bio method=Assembly, Differentially expressed gene identification, statistical testing, | |bio method=Assembly, Differentially expressed gene identification, statistical testing, | ||
|bio tech=Illumina, 454, Ion Torrent | |bio tech=Illumina, 454, Ion Torrent | ||
− | |created at=University of Maryland, UC Berkeley, | + | |created by=Cole Trapnell |
+ | |created at=University of Maryland, UC Berkeley, Johns Hopkins University, | ||
+ | |maintained=Yes | ||
+ | |email address=tophat.cufflinks@gmail.com | ||
|input format=SAM, | |input format=SAM, | ||
|output format=GTF | |output format=GTF |
Revision as of 16:01, 16 September 2013
Application data |
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Created by | Cole Trapnell |
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Biological application domain(s) | RNA-Seq Alignment, RNA-Seq Quantitation, Differential Expression, Alternative Splicing, De novo transcriptome assembly, RNA-Seq |
Principal bioinformatics method(s) | Assembly, Differentially expressed gene identification, statistical testing |
Technology | Illumina, 454, Ion Torrent |
Created at | University of Maryland, UC Berkeley, Johns Hopkins University |
Maintained? | Yes |
Input format(s) | SAM |
Output format(s) | GTF |
Licence | Boost |
Contact: | tophat.cufflinks@gmail.com |
Summary: Cufflinks assembles transcripts and estimates their abundances in RNA-Seq samples. It accepts aligned RNA-Seq reads and assembles the alignments into a parsimonious set of transcripts. Cufflinks then estimates the relative abundances of these transcripts based on how many reads support each one.
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