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Massively parallel sequencing of mRNA-derived DNA reverse transcribed from RNA (RNASeq) gives remarkable accurate evaluation of the quantity also composition of mRNAs. Concerning characterize our transcriptome through the analysis of RNA-seq outputs, we developed PRADA. PRADA focuses on the processing and analysis of gene expression quotations, supervised and unsupervised gene interfusion marking, coupled with supervised intragenic deletion identification. PRADA currently supports 7 modules concerning process and identify abnormalities from RNAseq data:preprocess: Generates aligned in addition to recalibrated BAM files.expression: Generates gene expression (RPKM) likewise quality metrics.fusion: Identifies prospect hereditary factor fusions.guess-ft: Supervised search with respect to fusion transcripts.guess-if: Supervised search relating to intragenic fusions.homology: Calculates homology between given two genes.frame: Predicts functional consequence of fusion transcript

Functionalities

• PRADA is inscribed in python programing language and intended for run amid a command route environment on UNIX or LINUX operating systems.
• Detail description of installation steps plus the usage of each module with examples indicates available in the documentation at https://sourceforge.net/p/prada/wiki/Home/attachment/pyPRADA.pdf
• The hg19 reference files are handy to download at http://bioinformatics.mdanderson.org/Software/PRADA/
• To excise fusion manuscripts, this collective filter out genes with multiple partners in the same sample and homology.

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