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Susan K. Rathe

dblp:135/5764 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 75% Medical and health informatics · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
cancer genomics
0.212013
MMuFLR: missense mutation and frameshift location reporter · Bioinform. 2013
Medical and health informatics › oncology
cancer immunotherapy
0.212013
MMuFLR: missense mutation and frameshift location reporter · Bioinform. 2013
Bioinformatics and computational biology › genomics › variant analysis
mutation identification
0.212013
MMuFLR: missense mutation and frameshift location reporter · Bioinform. 2013
Bioinformatics and computational biology › immunoinformatics
neoantigen prediction
0.212013
MMuFLR: missense mutation and frameshift location reporter · Bioinform. 2013

Methods — techniques the papers use, named apart from their topics

next-generation sequencing analysis · 0.2RNA-seq · 0.2
YearPublicationVenuePosition
2013 MMuFLR: missense mutation and frameshift location reporter
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. AVAILABILITY: http://toolshed.g2.bx.psu.edu/ CONTACT: [email protected] or [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Susan K. Rathe, James E. Johnson, Kevin A. T. Silverstein, Jesse J. Erdmann, Adrienne L. Watson, Flavia E. Popescu, John R. Ohlfest, David A. Largaespada
Bioinform.1