MMuFLR: missense mutation and frameshift location reporter

0301 basic medicine 03 medical and health sciences Sequence Analysis, RNA Mutation, Missense High-Throughput Nucleotide Sequencing Humans Frameshift Mutation Software Neoplasm Proteins 3. Good health
DOI: 10.1093/bioinformatics/btt385 Publication Date: 2013-07-04T07:00:34Z
ABSTRACT
Abstract Motivation: Cancer researchers seeking immunotherapy targets in cancer cells need tools to locate highly expressed proteins unique cells. Missense mutation and frameshift location reporter (MMuFLR), a Galaxy-based workflow, analyzes next-generation sequencing paired read RNA-seq output reliably identify small mutations missense protein-coding genes. MMuFLR ignores known SNPs, low quality reads poly-A/T sequences. For each identified, provides the sequence of amino acid substitutions novel protein candidates for direct input into epitope evaluation tools. Availability: http://toolshed.g2.bx.psu.edu/ Contact: rath0096@umn.edu or johns198@umn.edu Supplementary information: data are available at Bioinformatics online.
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