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Karl W. Broman

dblp:15/2132 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2012
0000-0002-4914-6671ORCID · verified

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

Applied, interdisciplinary, general and emerging computing · 3 · 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
3 papers
Bioinformatics and computational biology · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › statistical genetics
quantitative trait locus mapping
0.332012
xQTL workbench: a scalable web environment for multi-level QTL analysis · Bioinform. 2012
R/qtl: high-throughput multiple QTL mapping · Bioinform. 2010
R/qtl: QTL Mapping in Experimental Crosses · Bioinform. 2003
Bioinformatics and computational biology › statistical genetics › quantitative trait locus mapping
genetical genomics
0.012010
R/qtl: high-throughput multiple QTL mapping · Bioinform. 2010
Bioinformatics and computational biology
statistical genetics
0.012010
R/qtl: high-throughput multiple QTL mapping · Bioinform. 2010

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

cloud computing · 0.3QTL mapping · 0.3statistical modeling · 0.1permutation testing · 0.1r · 0.0multiple QTL genome scan · 0.0
YearPublicationVenuePosition
2012 xQTL workbench: a scalable web environment for multi-level QTL analysis
abstract
SUMMARY: xQTL workbench is a scalable web platform for the mapping of quantitative trait loci (QTLs) at multiple levels: for example gene expression (eQTL), protein abundance (pQTL), metabolite abundance (mQTL) and phenotype (phQTL) data. Popular QTL mapping methods for model organism and human populations are accessible via the web user interface. Large calculations scale easily on to multi-core computers, clusters and Cloud. All data involved can be uploaded and queried online: markers, genotypes, microarrays, NGS, LC-MS, GC-MS, NMR, etc. When new data types come available, xQTL workbench is quickly customized using the Molgenis software generator. AVAILABILITY: xQTL workbench runs on all common platforms, including Linux, Mac OS X and Windows. An online demo system, installation guide, tutorials, software and source code are available under the LGPL3 license from http://www.xqtl.org. CONTACT: [email protected].
Danny Arends, K. Joeri van der Velde, Pjotr Prins, Karl W. Broman, Steffen Möller, Ritsert C. Jansen, Morris A. Swertz
Bioinform.4
2010 R/qtl: high-throughput multiple QTL mapping
abstract
MOTIVATION: R/qtl is free and powerful software for mapping and exploring quantitative trait loci (QTL). R/qtl provides a fully comprehensive range of methods for a wide range of experimental cross types. We recently added multiple QTL mapping (MQM) to R/qtl. MQM adds higher statistical power to detect and disentangle the effects of multiple linked and unlinked QTL compared with many other methods. MQM for R/qtl adds many new features including improved handling of missing data, analysis of 10,000 s of molecular traits, permutation for determining significance thresholds for QTL and QTL hot spots, and visualizations for cis-trans and QTL interaction effects. MQM for R/qtl is the first free and open source implementation of MQM that is multi-platform, scalable and suitable for automated procedures and large genetical genomics datasets. AVAILABILITY: R/qtl is free and open source multi-platform software for the statistical language R, and is made available under the GPLv3 license. R/qtl can be installed from http://www.rqtl.org/. R/qtl queries should be directed at the mailing list, see http://www.rqtl.org/list/. CONTACT: [email protected].
Danny Arends, Pjotr Prins, Ritsert C. Jansen, Karl W. Broman
Bioinform.4
2003 R/qtl: QTL Mapping in Experimental Crosses
abstract
Abstract Summary: R/qtl is an extensible, interactive environment for mapping quantitative trait loci (QTLs) in experimental populations derived from inbred lines. It is implemented as an add-on package for the freely-available statistical software, R, and includes functions for estimating genetic maps, identifying genotyping errors, and performing single-QTL and two-dimensional, two-QTL genome scans by multiple methods, with the possible inclusion of covariates. Availability: The package is freely available at http://www.biostat.jhsph.edu/~kbroman/qtl. Contact: [email protected] * To whom correspondence should be addressed. † Present address: Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94143, USA.
Karl W. Broman, Hao Wu 0003, Saunak Sen, Gary A. Churchill
Bioinform.1