Finding Function in the UnknownProceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Document TypeConference Proceeding
AbstractThrough 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.
Creative Commons LicenseCreative Commons Attribution-Noncommercial-No Derivative Works 3.0
© IEEE, 2015.
Citation InformationKelly Boyd, Emma Highland, Amanda Misch, Amber Hu, et al.. "Finding Function in the Unknown" Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2015)
Available at: http://works.bepress.com/catherine-putonti/18/