QTrim specifications
Information
| Unique identifier | OMICS_01089 |
|---|---|
| Name | QTrim |
| Software type | Application/Script |
| Interface | Command line interface |
| Restrictions to use | None |
| Input data | High throughput sequence data |
| Input format | FASTQ, FASTA + QUAL |
| Output data | High quality reads |
| Output format | FASTQ, FASTA + QUAL |
| Biological technology | Roche |
| Operating system | Unix/Linux, Mac OS |
| Programming languages | Python |
| License | GNU General Public License version 3.0 |
| Computer skills | Advanced |
| Stability | Stable |
| Requirements | BioPython, Numpy, Matplotlib |
| Maintained | Yes |
Versioning
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Maintainer
- person_outline Simon A. Travers <>
Information
| Unique identifier | OMICS_01089 |
|---|---|
| Name | QTrim |
| Interface | Web user interface |
| Restrictions to use | None |
| Input data | High throughput sequence data |
| Input format | FASTQ, FASTA + QUAL |
| Output data | High quality reads |
| Output format | FASTQ, FASTA + QUAL |
| Programming languages | Python |
| License | GNU General Public License version 3.0 |
| Computer skills | Basic |
| Stability | Stable |
| Maintained | Yes |
Maintainer
- person_outline Simon A. Travers <>
QTrim article
library_books
QTrim: a novel tool for the quality trimming of sequence reads generated using the Roche/454 sequencing platform.
2014 BMC Bioinformatics
PMID: 24479419
DOI: 10.1186/1471-2105-15-33
QTrim institution(s)
South African National Bioinformatics Institute, SA MRC Bioinformatics Unit, University of the Western Cape, Bellville, South Africa; Ryan Institute, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland; Retroviruses and Molecular Evolution, CNRS-UPR 9002, Institut de Biologie Moléculaire et Cellulaire, Strasbourg, France; School of Life Sciences, University of Warwick, Coventry, UK
QTrim funding source(s)
This work was supported by a student bursary from Atlantic Philanthropies (grant # 62302) and by an award from the South African Department of Science and Technology. This work was further supported by Science Foundation Ireland (grant n°07/RFP/EEEOBF424).
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