Demo Data from SIGIR 2026 / reviewers in the wild / expert
Alex P. Reynolds
dblp:116/9488
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2019
—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
2 papers |
Bioinformatics and computational biology · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
epigenomics |
0.4 | 1 | 2019 | eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data · Bioinform. 2019 |
Bioinformatics and computational biology › genomics
genomic data compression |
0.1 | 1 | 2012 | BEDOPS: high-performance genomic feature operations · Bioinform. 2012 |
Bioinformatics and computational biology › genomics › genomic interval analysis
genomic interval operations |
0.1 | 1 | 2012 | BEDOPS: high-performance genomic feature operations · Bioinform. 2012 |
Bioinformatics and computational biology
genomics |
0.1 | 1 | 2012 | BEDOPS: high-performance genomic feature operations · Bioinform. 2012 |
Bioinformatics and computational biology › genomics › genomic data compression
lossless compression |
0.1 | 1 | 2012 | BEDOPS: high-performance genomic feature operations · Bioinform. 2012 |
Bioinformatics and computational biology › epigenomics › DNA methylation
DNA methylation analysis |
0.1 | 1 | 2019 | eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
parallel processing · 0.1interval tree · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic dataabstractSUMMARY: The Illumina Infinium EPIC BeadChip is a new high-throughput array for DNA methylation analysis, extending the earlier 450k array by over 400 000 new sites. Previously, a method named eFORGE was developed to provide insights into cell type-specific and cell-composition effects for 450k data. Here, we present a significantly updated and improved version of eFORGE that can analyze both EPIC and 450k array data. New features include analysis of chromatin states, transcription factor motifs and DNase I footprints, providing tools for epigenome-wide association study interpretation and epigenome editing. AVAILABILITY AND IMPLEMENTATION: eFORGE v2.0 is implemented as a web tool available from https://eforge.altiusinstitute.org and https://eforge-tf.altiusinstitute.org/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Charles E. Breeze, Alex P. Reynolds, Jenny van Dongen, Ian Dunham, John Lazar, Shane J. Neph, Jeff Vierstra, Guillaume Bourque, Andrew E. Teschendorff, John A. Stamatoyannopoulos, Stephan Beck 0002 |
Bioinform. | 2 |
| 2012 | BEDOPS: high-performance genomic feature operationsabstractAbstract Summary: The large and growing number of genome-wide datasets highlights the need for high-performance feature analysis and data comparison methods, in addition to efficient data storage and retrieval techniques. We introduce BEDOPS, a software suite for common genomic analysis tasks which offers improved flexibility, scalability and execution time characteristics over previously published packages. The suite includes a utility to compress large inputs into a lossless format that can provide greater space savings and faster data extractions than alternatives. Availability: http://code.google.com/p/bedops/ includes binaries, source and documentation. Contact: [email protected] and [email protected] Supplementary information: Supplementary data are available at Bioinformatics online. Shane J. Neph, Scott Kuehn, Alex P. Reynolds, Eric Haugen, Robert E. Thurman, Audra K. Johnson, Eric Rynes, Matthew T. Maurano, Jeff Vierstra, Sean Thomas, Richard S. Sandstrom, Richard Humbert, John A. Stamatoyannopoulos |
Bioinform. | 3 |