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Article
Finding Function in the Unknown
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  • Kelly Boyd, Loyola University Chicago
  • Emma Highland, Loyola University Chicago
  • Amanda Misch, Loyola University Chicago
  • Amber Hu, Stevenson High School
  • Sushma Reddy, Loyola University Chicago
  • Catherine Putonti, Loyola University Chicago
Document Type
Conference Proceeding
Publication Date
12-17-2015
Pages
1098-1099
Publisher Name
IEEE
Abstract
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.
Identifier
10.1109/BIBM.2015.7359834
Comments

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

Creative Commons License
Creative Commons Attribution-Noncommercial-No Derivative Works 3.0
Citation Information
Kelly 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/