https://github.com/bcgsc/transabyss
de novo assembly of RNA-seq data using ABySS
https://github.com/bcgsc/transabyss
bioinformatics rna-seq transcriptome transcriptome-assembly
Last synced: 15 days ago
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de novo assembly of RNA-seq data using ABySS
- Host: GitHub
- URL: https://github.com/bcgsc/transabyss
- Owner: bcgsc
- License: other
- Created: 2014-07-08T17:42:46.000Z (almost 11 years ago)
- Default Branch: master
- Last Pushed: 2023-07-21T02:39:34.000Z (almost 2 years ago)
- Last Synced: 2025-04-19T19:34:38.894Z (about 1 month ago)
- Topics: bioinformatics, rna-seq, transcriptome, transcriptome-assembly
- Language: Python
- Homepage:
- Size: 724 KB
- Stars: 34
- Watchers: 19
- Forks: 14
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
[](https://github.com/bcgsc/transabyss/releases)
[](https://github.com/bcgsc/transabyss/releases/download/2.0.1/transabyss-2.0.1.zip)
[](https://anaconda.org/bioconda/transabyss)
[](https://github.com/bcgsc/transabyss/issues)# Trans-ABySS
## *De novo* assembly of RNAseq data using ABySS[Ka Ming Nip](mailto:[email protected]) and [Readman Chiu](mailto:[email protected])
Copyright 2018 Canada's Michael Smith Genome Sciences Centre, BC Cancer
Please use our [Google Group](mailto:[email protected]) for [discussions and
support](https://groups.google.com/d/forum/trans-abyss).
You may also create [issues](https://github.com/bcgsc/transabyss/issues) on our GitHub repository.If you use Trans-ABySS, please cite:
[Robertson, G., et al. 2010. De novo assembly and analysis of RNA-seq data. Nature Methods 7, 909-912(2010)](http://www.nature.com/nmeth/journal/v7/n11/full/nmeth.1517.html)
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Program requirements for `transabyss` and `transabyss-merge`:
* [ABySS 2.0.x](https://github.com/bcgsc/abyss/releases)
* [Python 2.7.x](https://www.python.org/download/releases/2.7.14/) or [Python 3.6.x](https://www.python.org/download/releases/3.6.4/)
* [python-igraph 0.7.x](http://igraph.org/python/#downloads)
* [BLAT](http://hgdownload.cse.ucsc.edu/admin/exe/linux.x86_64/blat/blat)Required Python packages (ie. python-igraph) can be installed
easily with `pip`, ie.```
pip install igraph
```Other required softwares must be accessible from your `PATH` environment variable.
To test `transabyss` on our sample dataset:
```
bash sample_dataset/assemble.sh
```
Please check out our [short tutorial](TUTORIAL.md) for more information on the usage of each application.--------------------------------------------------------------------------------
EOF