Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Through high-throughput RNA sequencing (RNAseq), transcriptomes for a single cell, tissue, or organism(s) can be ascertained at a high resolution. While a number of bioinformatic tools have been developed for transcriptome analyses, significant challenges exist for studies of non-model organisms. Without a reference sequence available, raw reads must first be assembled de novo followed by the tedious task of BLAST searches and data mining for functional information. We have created a pipeline, PyRanger, to automate this process. The pipeline includes functionality to assess a single transcriptome and also facilitate comparative transcriptomic studies.
Boyd, Kelly; Highland, Emma; Misch, Amanda; Hu, Amber; Reddy, Sushma; and Putonti, Catherine. Finding Function in the Unknown. Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), , : 1098-1099, 2015. Retrieved from Loyola eCommons, Bioinformatics Faculty Publications, http://dx.doi.org/10.1109/BIBM.2015.7359834
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Author Posting © IEEE, 2015. This is the author's version of the work. It is posted here by permission of IEEE for personal use, not for redistribution. The definitive version was published in Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), December, 2015. http://dx.doi.org/10.1109/BIBM.2015.7359834%20%20