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MAP-RSeq: Mayo Analysis Pipeline for RNA sequencing
2014
BMC Bioinformatics
Although the costs of next generation sequencing technology have decreased over the past years, there is still a lack of simple-to-use applications, for a comprehensive analysis of RNA sequencing data. There is no one-stop shop for transcriptomic genomics. We have developed MAP-RSeq, a comprehensive computational workflow that can be used for obtaining genomic features from transcriptomic sequencing data, for any genome. Results: For optimization of tools and parameters, MAP-RSeq was validated
doi:10.1186/1471-2105-15-224
pmid:24972667
pmcid:PMC4228501
fatcat:q5u5p7x5u5eztpwippd7bqyeom