Name
Title | ||
|---|---|---|
Annocript: a flexible pipeline for the annotation of transcriptomes able to identify putative long noncoding RNAs. |
Abstract | ||
|---|---|---|
The eukaryotic transcriptome is composed of thousands of coding and long non-coding RNAs (IncRNAs). However, we lack a software platform to identify both RNA classes in a given transcriptome. Here we introduce Annocript, a pipeline that combines the annotation of protein coding transcripts with the prediction of putative IncRNAs in whole transcriptomes. It downloads and indexes the needed databases, runs the analysis and produces human readable and standard outputs together with summary statistics of the whole analysis. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1093/bioinformatics/btv106 | BIOINFORMATICS |
Field | DocType | Volume |
Data mining,RNA,Annotation,Computer science,Transcriptome,Coding (social sciences),Software,Bioinformatics,License | Journal | 31 |
Issue | ISSN | Citations |
13 | 1367-4803 | 1 |
PageRank | References | Authors |
0.36 | 15 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francesco Musacchia | 1 | 5 | 1.77 |
| Swaraj Basu | 2 | 1 | 0.70 |
| Giuseppe Petrosino | 3 | 1 | 0.36 |
| Marco Salvemini | 4 | 1 | 0.36 |
| Remo Sanges | 5 | 1 | 0.36 |