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.).