Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Andrew W. George

dblp:73/9181 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0001-6916-0684ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2 · 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
2 papers
Bioinformatics and computational biology · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
genomics
0.412020
Eagle: multi-locus association mapping on a genome-wide scale made routine · Bioinform. 2020
Bioinformatics and computational biology › statistical genetics › genetic association study
multi-locus association mapping
0.412020
Eagle: multi-locus association mapping on a genome-wide scale made routine · Bioinform. 2020
Bioinformatics and computational biology › genomics
genome-wide association study
0.112020
Eagle: multi-locus association mapping on a genome-wide scale made routine · Bioinform. 2020
Bioinformatics and computational biology › statistical genetics
quantitative trait locus mapping
0.112011
R/mpMap: a computational platform for the genetic analysis of multiparent recombinant inbred lines · Bioinform. 2011

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

statistical association testing · 0.4simulation study · 0.4simulation · 0.1haplotype reconstruction · 0.1
YearPublicationVenuePosition
2020 Eagle: multi-locus association mapping on a genome-wide scale made routine
abstract
MOTIVATION: We present Eagle, a new method for multi-locus association mapping. The motivation for developing Eagle was to make multi-locus association mapping 'easy' and the method-of-choice. Eagle's strengths are that it (i) is considerably more powerful than single-locus association mapping, (ii) does not suffer from multiple testing issues, (iii) gives results that are immediately interpretable and (iv) has a computational footprint comparable to single-locus association mapping. RESULTS: By conducting a large simulation study, we will show that Eagle finds true and avoids false single-nucleotide polymorphism trait associations better than competing single- and multi-locus methods. We also analyze data from a published mouse study. Eagle found over 50% more validated findings than the state-of-the-art single-locus method. AVAILABILITY AND IMPLEMENTATION: Eagle has been implemented as an R package, with a browser-based Graphical User Interface for users less familiar with R. It is freely available via the CRAN website at https://cran.r-project.org. Videos, Quick Start guides, FAQs and Demos are available via the Eagle website http://eagle.r-forge.r-project.org. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Andrew W. George, Arunas Verbyla, Joshua Bowden
Bioinform.1
2011 R/mpMap: a computational platform for the genetic analysis of multiparent recombinant inbred lines
abstract
UNLABELLED: Multiparent crosses of recombinant inbred lines provide opportunity to map markers and quantitative trait loci (QTL) with much greater resolution than is possible in biparental crosses. Realizing the full potential of these crosses requires computational tools capable of handling the increased statistical complexity of the analyses. R/mpMap provides a flexible and extensible environment, which interfaces easily with other packages to satisfy this demand. Functions in the package encompass simulation, marker map construction, haplotype reconstruction and QTL mapping. We demonstrate the easy-to-use features of mpMap through a simulated data example. AVAILABILITY: www.cmis.csiro.au/mpMap.
Bevan Emma Huang, Andrew W. George
Bioinform.2