Abstract
Motivation: Cancer researchers seeking immunotherapy targets in cancer cells need tools to locate highly expressed proteins unique to cancer cells. Missense mutation and frameshift location reporter (MMuFLR), a Galaxy-based workflow, analyzes next-generation sequencing paired read RNA-seq output to reliably identify small frameshift mutations and missense mutations in highly expressed protein-coding genes. MMuFLR ignores known SNPs, low quality reads and poly-A/T sequences. For each frameshift and missense mutation identified, MMuFLR provides the location and sequence of the amino acid substitutions in the novel protein candidates for direct input into epitope evaluation tools.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2353-2354 |
| Number of pages | 2 |
| Journal | Bioinformatics |
| Volume | 29 |
| Issue number | 18 |
| DOIs | |
| State | Published - Sep 15 2013 |
Bibliographical note
Funding Information:Funding: This work was funded by The Children’s Cancer Research Fund; Children’s Tumor Foundation Young Investigator Award Grant 2011-01-018 (to A.L.W.).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Fingerprint
Dive into the research topics of 'MMuFLR: Missense mutation and frameshift location reporter'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS