Demo Data from SIGIR 2026 / reviewers in the wild / expert
Scott F. Saccone
dblp:80/6727
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics
genomic data management |
0.1 | 1 | 2012 | 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 |
0.1 | 1 | 2008 | 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 |
0.1 | 1 | 2008 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | BioQ: tracing experimental origins in public genomic databases using a novel data provenance modelabstractUNLABELLED: 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 dependenceabstractMOTIVATION: 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 |