Source: trinityrnaseq Maintainer: Debian Med Packaging Team Uploaders: Michael R. Crusoe Section: science Priority: optional Build-Depends: debhelper (>= 11~), jellyfish (>= 2.1.4), libjung-free-java, javahelper, libgetopt-java, default-jdk, parafly, libjs-jquery, jaligner, libhts-dev, bowtie2, jellyfish, salmon, zlib1g-dev Standards-Version: 4.3.0 Vcs-Browser: https://salsa.debian.org/med-team/trinityrnaseq Vcs-Git: https://salsa.debian.org/med-team/trinityrnaseq.git Homepage: http://trinityrnaseq.github.io/ Package: trinityrnaseq Architecture: any Depends: ${shlibs:Depends}, ${misc:Depends}, ${perl:Depends}, ${java:Depends}, bowtie, bowtie2, libwww-perl, default-jre-headless, samtools, jellyfish, r-base-core, r-cran-cluster, r-bioc-qvalue, rsem, berkeley-express, trimmomatic, transdecoder, parafly, curl, salmon, python3-numpy, ncbi-blast+ Recommends: ${java:Recommends}, trinityrnaseq-examples Suggests: collectl Description: RNA-Seq De novo Assembly Trinity represents a novel method for the efficient and robust de novo reconstruction of transcriptomes from RNA-seq data. Trinity combines three independent software modules: Inchworm, Chrysalis, and Butterfly, applied sequentially to process large volumes of RNA-seq reads. Trinity partitions the sequence data into many individual de Bruijn graphs, each representing the transcriptional complexity at a given gene or locus, and then processes each graph independently to extract full-length splicing isoforms and to tease apart transcripts derived from paralogous genes. Package: trinityrnaseq-examples Architecture: all Depends: ${perl:Depends}, ${java:Depends}, ${misc:Depends}, r-base-core, coreutils Recommends: trinityrnaseq Description: RNA-Seq De novo Assembly common example and testing files Trinity represents a novel method for the efficient and robust de novo reconstruction of transcriptomes from RNA-seq data. Trinity combines three independent software modules: Inchworm, Chrysalis, and Butterfly, applied sequentially to process large volumes of RNA-seq reads. Trinity partitions the sequence data into many individual de Bruijn graphs, each representing the transcriptional complexity at a given gene or locus, and then processes each graph independently to extract full-length splicing isoforms and to tease apart transcripts derived from paralogous genes. . This package contains testing & example files.