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Marcia M. Nizzari

dblp:35/7070 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
—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 · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics
genome-wide association study		 0.112008
SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap · Bioinform. 2008
Bioinformatics and computational biology › population genetics
linkage disequilibrium		 0.112008
SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap · Bioinform. 2008
Bioinformatics and computational biology
genetic variation		 0.012008
SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap · Bioinform. 2008
Bioinformatics and computational biology › genomics › variant annotation
SNP annotation		 0.012008
SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap · Bioinform. 2008

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

hapmap-based query · 0.1
YearPublicationVenuePosition
2008 SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap
abstract
SUMMARY: The interpretation of genome-wide association results is confounded by linkage disequilibrium between nearby alleles. We have developed a flexible bioinformatics query tool for single-nucleotide polymorphisms (SNPs) to identify and to annotate nearby SNPs in linkage disequilibrium (proxies) based on HapMap. By offering functionality to generate graphical plots for these data, the SNAP server will facilitate interpretation and comparison of genome-wide association study results, and the design of fine-mapping experiments (by delineating genomic regions harboring associated variants and their proxies). AVAILABILITY: SNAP server is available at http://www.broad.mit.edu/mpg/snap/.
Andrew D. Johnson, Robert E. Handsaker, Sara L. Pulit, Marcia M. Nizzari, Christopher J. O'Donnell, Paul I. W. de Bakker
 Bioinform.4