Difference between revisions of "RobiNA"
(Created page with "{{Bioinformatics application |bio domain=RNA-seq, |bio method=Differentially expressed gene identification, |bio tech=Illumina, |created by=Lohse MA, Bolger T, Usadel B |creat...") |
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{{Bioinformatics application | {{Bioinformatics application | ||
| − | |bio domain=RNA-seq, | + | |sw summary=RobiNA is a Java GUI that enables the user to graphically call differentially expressed genes. For read mapping it relies on bowtie and for the differntial expression analysis it builds on an R backbone running DESeq and edgeR. |
| − | |bio method=Differentially expressed gene identification, | + | |bio domain=RNA-seq, |
| − | |bio tech=Illumina, | + | |bio method=Differentially expressed gene identification, |
| + | |bio tech=Illumina, | ||
|created by=Lohse MA, Bolger T, Usadel B | |created by=Lohse MA, Bolger T, Usadel B | ||
|created at=Max Planck Institute of Molecular Plant Physiology | |created at=Max Planck Institute of Molecular Plant Physiology | ||
|maintained=Yes | |maintained=Yes | ||
| − | |input format=Fastq, | + | |input format=Fastq, |
|sw feature=Trimming, | |sw feature=Trimming, | ||
| + | |language=Java, R | ||
| + | |licence=GPL, | ||
| + | |os=MAC OS, Windows, Linux | ||
}} | }} | ||
== Description == | == Description == | ||
Revision as of 18:34, 15 January 2012
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Application data |
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| Created by | Lohse MA, Bolger T, Usadel B |
|---|---|
| Biological application domain(s) | RNA-seq |
| Principal bioinformatics method(s) | Differentially expressed gene identification |
| Technology | Illumina |
| Created at | Max Planck Institute of Molecular Plant Physiology |
| Maintained? | Yes |
| Input format(s) | Fastq |
| Software features | Trimming |
| Programming language(s) | Java, R |
| Licence | GPL |
| Operating system(s) | MAC OS, Windows, Linux |
Summary: RobiNA is a Java GUI that enables the user to graphically call differentially expressed genes. For read mapping it relies on bowtie and for the differntial expression analysis it builds on an R backbone running DESeq and edgeR.
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