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.
Original language | English (US) |
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Title of host publication | Proceedings - 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015 |
Editors | lng. Matthieu Schapranow, Jiayu Zhou, Xiaohua Tony Hu, Bin Ma, Sanguthevar Rajasekaran, Satoru Miyano, Illhoi Yoo, Brian Pierce, Amarda Shehu, Vijay K. Gombar, Brian Chen, Vinay Pai, Jun Huan |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1098-1099 |
Number of pages | 2 |
ISBN (Electronic) | 9781467367981 |
DOIs | |
State | Published - Dec 16 2015 |
Externally published | Yes |
Event | IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015 - Washington, United States Duration: Nov 9 2015 → Nov 12 2015 |
Publication series
Name | Proceedings - 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015 |
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Other
Other | IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015 |
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Country/Territory | United States |
City | Washington |
Period | 11/9/15 → 11/12/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- RNA-seq
- comparative gene expression
- de novo transcriptomics