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David Eccles 2019. Stranded Transcript Count Table Generation from Long Reads. protocols.io https://dx.doi.org/10.17504/protocols.io.594g98wCopy Citation Copied
URL: https://dx.doi.org/DOI:10.17504/protocols.io.594g98w
Authors: David Eccles
Summary: This protocol is for comparing different samples at the transcript level, using long reads that are mapped to transcripts.Input(s): demultiplexed and oriented fastq files (see protocol Preparing Reads for Stranded Mapping), transcript reference fasta file, annotation fileOutput(s): transcript table, sorted by differential coverage, annotated with gene name / description / location
Affiliations: Malaghan Institute of Medical Research (NZ)
Version: 8
Publication Date: 2019
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