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Scott F. Saccone

dblp:80/6727 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2012
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2 · 2 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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics
genomic data management
0.112012
BioQ: tracing experimental origins in public genomic databases using a novel data provenance model · Bioinform. 2012
Bioinformatics and computational biology › genomics
genome-wide association study
0.112008
Systematic biological prioritization after a genome-wide association study: an application to nicotine dependence · Bioinform. 2008
Bioinformatics and computational biology › statistical genetics › variant effect prediction
SNP prioritization
0.112008
Systematic biological prioritization after a genome-wide association study: an application to nicotine dependence · Bioinform. 2008

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

provenance modeling · 0.1pathway analysis · 0.1linkage disequilibrium · 0.1comparative genomics · 0.1
YearPublicationVenuePosition
2012 BioQ: tracing experimental origins in public genomic databases using a novel data provenance model
abstract
UNLABELLED: Public genomic databases, which are often used to guide genetic studies of human disease, are now being applied to genomic medicine through in silico integrative genomics. These databases, however, often lack tools for systematically determining the experimental origins of the data. RESULTS: We introduce a new data provenance model that we have implemented in a public web application, BioQ, for assessing the reliability of the data by systematically tracing its experimental origins to the original subjects and biologics. BioQ allows investigators to both visualize data provenance as well as explore individual elements of experimental process flow using precise tools for detailed data exploration and documentation. It includes a number of human genetic variation databases such as the HapMap and 1000 Genomes projects. AVAILABILITY AND IMPLEMENTATION: BioQ is freely available to the public at http://bioq.saclab.net.
Scott F. Saccone, Jiaxi Quan, Peter L. Jones
Bioinform.1
2008 Systematic biological prioritization after a genome-wide association study: an application to nicotine dependence
abstract
MOTIVATION: A challenging problem after a genome-wide association study (GWAS) is to balance the statistical evidence of genotype-phenotype correlation with a priori evidence of biological relevance. RESULTS: We introduce a method for systematically prioritizing single nucleotide polymorphisms (SNPs) for further study after a GWAS. The method combines evidence across multiple domains including statistical evidence of genotype-phenotype correlation, known pathways in the pathologic development of disease, SNP/gene functional properties, comparative genomics, prior evidence of genetic linkage, and linkage disequilibrium. We apply this method to a GWAS of nicotine dependence, and use simulated data to test it on several commercial SNP microarrays. AVAILABILITY: A comprehensive database of biological prioritization scores for all known SNPs is available at http://zork.wustl.edu/gin. This can be used to prioritize nicotine dependence association studies through a straightforward mathematical formula-no special software is necessary. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Scott F. Saccone, Nancy L. Saccone, Gary E. Swan, Pamela A. F. Madden, Alison M. Goate, John P. Rice, Laura J. Bierut
Bioinform.1