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
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
© IEEE, 2015.