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de novo assembly of RNA-Seq data using ABySS.
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Trans-ABySS - de novo assembly of RNAseq data using ABySS. Ka Ming Nip <kmnip@bcgsc.ca>, Readman Chiu <rchiu@bcgsc.ca>, Anthony Raymond <traymond@bcgsc.ca> Copyright 2014 Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency Please use our Google Group <trans-abyss@googlegroups.com> for discussions and support. Existing topics can be viewed at: <https://groups.google.com/d/forum/trans-abyss> You may also create issues on our GitHub repository at: <https://github.com/bcgsc/transabyss/issues> ~ README ~ ================================================================================ VERSION 1.5.1 (July 18, 2014) + Support strand-specific RNAseq data. + Major improvement in assembly quality; both rare and common transcripts can be assembled well with "small" k-mer sizes (ie. 25~32). + Package has been divided into 3 main applications: (1) transabyss - RNAseq assembler at a single k-mer size (2) transabyss-merge - merge multiple assemblies from (1) (3) transabyss-analyze - analyze an assembly, either from (1) or (2), for structural variants and novel splice variants - Analysis results are NOT screened against dbSNP, DGV, etc. anymore. - Genome assembly and analyses pipeline has been retracted. - Support for SGE qmake has been retracted. Program requirements for 'transabyss' and 'transabyss-merge': * ABySS 1.5.1+ <https://github.com/bcgsc/abyss/releases> * Python 2.7.6 <https://www.python.org/download/releases/2.7.6/> * python-igraph 0.7.0+ <http://igraph.org/python/#downloads> * BLAT <http://hgdownload.cse.ucsc.edu/admin/exe/linux.x86_64/blat/blat> Program requirements for 'transabyss-analyze': * Python 2.7.6 <https://www.python.org/download/releases/2.7.6/> * BLAT <http://hgdownload.cse.ucsc.edu/admin/exe/linux.x86_64/blat/blat> * Pysam <http://code.google.com/p/pysam/> * BioPython <http://biopython.org/wiki/Download> * Bowtie2 <http://bowtie-bio.sourceforge.net/bowtie2/index.shtml> * GMAP/GSNAP <http://research-pub.gene.com/gmap/> * Samtools <http://sourceforge.net/projects/samtools/files/samtools/> * reference genome and annotations for the organism of interest Required Python packages (python-igraph, Pysam, BioPython) can be installed easily with pip, ie. pip install python-igraph pip install pysam pip install biopython Other required softwares must be accessible from your PATH environment variable. To test `transabyss' on our sample dataset: bash sample_dataset/assemble.sh To test `transabyss-analyze' on our sample dataset: bash sample_dataset/analyze.sh Please see TUTORIAL.txt for more information on the usage of each application. ================================================================================ ~ EOF ~
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