QTrim specifications
- Unique identifier:
- OMICS_01089
- Software type:
- Application/Script
- Restrictions to use:
- None
- Input format:
- FASTQ, FASTA + QUAL
- Output format:
- FASTQ, FASTA + QUAL
- Operating system:
- Unix/Linux, Mac OS
- License:
- GNU General Public License version 3.0
- Stability:
- Stable
- Maintained:
- Yes
- Name:
- QTrim
- Interface:
- Command line interface
- Input data:
- High throughput sequence data
- Output data:
- High quality reads
- Biological technology:
- Roche
- Programming languages:
- Python
- Computer skills:
- Advanced
- Requirements:
- BioPython, Numpy, Matplotlib
versioning
No versioning.
QTrim specifications
- Unique identifier:
- OMICS_01089
- Interface:
- Web user interface
- Input data:
- High throughput sequence data
- Output data:
- High quality reads
- Programming languages:
- Python
- Computer skills:
- Basic
- Maintained:
- Yes
- Name:
- QTrim
- Restrictions to use:
- None
- Input format:
- FASTQ, FASTA + QUAL
- Output format:
- FASTQ, FASTA + QUAL
- License:
- GNU General Public License version 3.0
- Stability:
- Stable
QTrim support
Maintainer
- Simon A. Travers <>
- Simon A. Travers <>
forum
No open topic.
forum
No open topic.
Credits
Publications
-
(Shrestha et al., 2014)
QTrim: a novel tool for the quality trimming of sequence reads generated using the Roche/454 sequencing platform.
BMC Bioinformatics.
PMID: 24479419 DOI: 10.1186/1471-2105-15-33
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
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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