Travis E. Abbott
Washington University in St. Louis
8 Papers
14 Citations
Travis E. Abbott is an academic researcher from Washington University in St. Louis. The author has contributed to research in topics: Genome & Differential evolution. The author has an hindex of 7, co-authored 8 publications. Previous affiliations of Travis E. Abbott include University of Missouri–St. Louis.
Chat about Author
Papers
SomaticSniper: identification of somatic point mutations in whole genome sequencing data
David E. Larson,Chris Harris,Ken Chen,Daniel C. Koboldt,Travis E. Abbott,David J. Dooling,Timothy J. Ley,Elaine R. Mardis,Richard K. Wilson,Li Ding +9 more
TL;DR: The mathematical basis of the SomaticSniper software for comparing tumor and normal pairs is described, its sensitivity and precision are estimated, and several common sources of error resulting in miscalls are presented.
BreakDancer: Identification of Genomic Structural Variation from Paired-End Read Mapping
TL;DR: The BreakDancer tool as discussed by the authors is a bioinformatics tool that relates paired-end read alignments from a test genome to the reference genome for the purpose of comprehensively and accurately detecting various types of structural variation.
194
PEM fuel cell modeling using differential evolution
TL;DR: In this article, a differential-evolution-based solution for the problem of proton exchange membrane fuel cell stack modeling is presented, which outperforms state-of-theart approaches on three performance metrics: solution quality corresponding to a given cost, cost of finding a solution of a given quality, and frequency of producing an optimal or near-optimal solution.
112
•Posted Content
Bam-readcount -- rapid generation of basepair-resolution sequence metrics
Ajay Khanna,David E. Larson,Sridhar Nonavinkere Srivatsan,Matthew Mosior,Travis E. Abbott,Susanna Kiwala,Timothy J. Ley,Eric J. Duncavage,Matthew J. Walter,Jason Walker,Obi L. Griffith,Malachi Griffith,Christopher A. Miller +12 more
TL;DR: Bam-readcount as mentioned in this paper is a utility for generating low-level information about sequencing data at specific nucleotide positions, which is useful as input for variant detection tools and for resolving ambiguity between variant callers.
73
Energy-efficient routing in hierarchical wireless sensor networks using differential-evolution-based memetic algorithm
Uday K. Chakraborty,Sajal K. Das,Travis E. Abbott +2 more
- 10 Jun 2012
TL;DR: A new memetic algorithm, based on differential evolution, that solves routing problems of more than a thousand relay nodes; in comparison, the best-known approach in the literature handles up to 312 nodes.
23