Background#R##N#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.
['Krishna R. Kalari', 'Asha Nair', 'Jaysheel D. Bhavsar', 'Daniel R O’Brien', 'Jaime I. Davila', 'Matthew Bockol', 'Jinfu Nie', 'Xiaojia Tang', 'Saurabh Baheti', 'Jay B Doughty', 'Sumit Middha', 'Hugues Sicotte', 'Aubrey E. Thompson', 'Yan W. Asmann', 'Jean-Pierre A. Kocher']
MAP-RSeq: Mayo Analysis Pipeline for RNA sequencing