Demo Data from EDBT 2026 / reviewers in the wild / expert
Jesse J. Erdmann
dblp:135/5860
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
cancer genomics |
0.2 | 1 | 2013 | MMuFLR: missense mutation and frameshift location reporter · Bioinform. 2013 |
Medical and health informatics › oncology
cancer immunotherapy |
0.2 | 1 | 2013 | MMuFLR: missense mutation and frameshift location reporter · Bioinform. 2013 |
Bioinformatics and computational biology › genomics › variant analysis
mutation identification |
0.2 | 1 | 2013 | MMuFLR: missense mutation and frameshift location reporter · Bioinform. 2013 |
Bioinformatics and computational biology › immunoinformatics
neoantigen prediction |
0.2 | 1 | 2013 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | MMuFLR: missense mutation and frameshift location reporterabstractMOTIVATION: 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. | 4 |