VLDB 2026 Research / reviewers in the wild / expert
Ignacy Misztal
dblp:37/1164
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
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 · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › statistical genetics
association analysis |
0.0 | 1 | 2004 | Qxpak: a versatile mixed model application for genetical genomics and QTL analyses · Bioinform. 2004 |
Bioinformatics and computational biology › statistical genetics › quantitative trait locus mapping
genetical genomics |
0.0 | 1 | 2004 | Qxpak: a versatile mixed model application for genetical genomics and QTL analyses · Bioinform. 2004 |
Bioinformatics and computational biology › statistical genetics
quantitative trait locus analysis |
0.0 | 1 | 2004 | Qxpak: a versatile mixed model application for genetical genomics and QTL analyses · Bioinform. 2004 |
Methods — techniques the papers use, named apart from their topics
multitrait analysis · 0.0mixed model · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Qxpak.5: Old mixed model solutions for new genomics problemsabstractBACKGROUND: Mixed models have a long and fruitful history in statistics. They are pertinent to genomics problems because they are highly versatile, accommodating a wide variety of situations within the same theoretical and algorithmic framework. RESULTS: Qxpak is a package for versatile statistical genomics, specifically designed for sophisticated quantitative trait loci and association analyses. Multiple loci, multiple trait, infinitesimal genetic effects, imprinting, epistasis or sex linked loci can be fitted. The new version (v. 5) allows us, among other new features, to include either relationship matrices obtained with molecular information or user defined matrices that can be read from an input file. This feature can be used for genome selection or - more importantly - to correct for population structure in association studies. In crosses, two parental lines, not necessarily inbred, can be accommodated. CONCLUSIONS: This software aims at simplifying statistical genetic analyses implementing a coherent and unified approach by mixed models. It provides a tool that can be used in a wide variety of situations with ample genetic and statistical modeling flexibility. The software, a complete manual and examples are available at http://www.icrea.cat/Web/OtherSectionViewer.aspx?key=485&titol=Software:Qxpak. Miguel Pérez-Enciso, Ignacy Misztal |
BMC Bioinform. | 2 |
| 2004 | Qxpak: a versatile mixed model application for genetical genomics and QTL analysesabstractMOTIVATION: Current methodology and software for quantitative trait loci (QTL) analyses do not use all available information and are inadequate to deal with the huge amount of QTL analyses to be needed in forecoming genetical genomics' studies. RESULTS: We show that a mixed model statistical framework provides a very flexible tool for QTL modeling in a variety of populations, be it a cross between inbred lines, a within population study, or experiments involving a mixture of populations or crosses. The software allows multitrait and multiQTL analyses, inclusion of infinitesimal genetic value and a batch multitrait option suitable for genetical genomics studies. It also allows massive association studies between single nucleotide polymorphisms and the trait(s) of interest. AVAILABILITY: A software (Qxpak), together with a manual and example files, is freely available for research purposes. So far, the compiled program is available for linux systems, the windows version will follow soon. See http://www.icrea.es/pag.asp?id=Miguel.Perez Miguel Pérez-Enciso, Ignacy Misztal |
Bioinform. | 2 |