VLDB 2026 Research / reviewers in the wild / expert
Richard S. Sandstrom
dblp:196/3975
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
0000-0002-3356-1547ORCID · verified
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
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 |
Methods — techniques the papers use, named apart from their topics
parallel processing · 0.1interval tree · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 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. | 11 |