VLDB 2026 Research / reviewers in the wild / expert
Darren Kessner
dblp:39/1608
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2014
0009-0007-8176-772XORCID · reported
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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › population genetics › population genetics simulation
forward-time simulation |
0.2 | 1 | 2014 | forqs: forward-in-time simulation of recombination, quantitative traits and selection · Bioinform. 2014 |
Bioinformatics and computational biology
population genetics |
0.2 | 1 | 2014 | forqs: forward-in-time simulation of recombination, quantitative traits and selection · Bioinform. 2014 |
Bioinformatics and computational biology › statistical genetics
quantitative genetics |
0.2 | 1 | 2014 | forqs: forward-in-time simulation of recombination, quantitative traits and selection · Bioinform. 2014 |
Bioinformatics and computational biology
proteomics |
0.1 | 1 | 2008 | ProteoWizard: open source software for rapid proteomics tools development · Bioinform. 2008 |
Methods — techniques the papers use, named apart from their topics
forward-in-time simulation · 0.2mzML · 0.1cross-platform library design · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | forqs: forward-in-time simulation of recombination, quantitative traits and selectionabstractAbstract Summary: forqs is a forward-in-time simulation of recombination, quantitative traits and selection. It was designed to investigate haplotype patterns resulting from scenarios where substantial evolutionary change has taken place in a small number of generations due to recombination and/or selection on polygenic quantitative traits. Availability and implementation: forqs is implemented as a command-line C++ program. Source code and binary executables for Linux, OSX and Windows are freely available under a permissive BSD license: https://bitbucket.org/dkessner/forqs. Contact: [email protected] Supplementary information: Supplementary data are available at Bioinformatics online. Darren Kessner, John Novembre |
Bioinform. | 1 |
| 2008 | ProteoWizard: open source software for rapid proteomics tools developmentabstractSUMMARY: The ProteoWizard software project provides a modular and extensible set of open-source, cross-platform tools and libraries. The tools perform proteomics data analyses; the libraries enable rapid tool creation by providing a robust, pluggable development framework that simplifies and unifies data file access, and performs standard proteomics and LCMS dataset computations. The library contains readers and writers of the mzML data format, which has been written using modern C++ techniques and design principles and supports a variety of platforms with native compilers. The software has been specifically released under the Apache v2 license to ensure it can be used in both academic and commercial projects. In addition to the library, we also introduce a rapidly growing set of companion tools whose implementation helps to illustrate the simplicity of developing applications on top of the ProteoWizard library. AVAILABILITY: Cross-platform software that compiles using native compilers (i.e. GCC on Linux, MSVC on Windows and XCode on OSX) is available for download free of charge, at http://proteowizard.sourceforge.net. This website also provides code examples, and documentation. It is our hope the ProteoWizard project will become a standard platform for proteomics development; consequently, code use, contribution and further development are strongly encouraged. Darren Kessner, Matt Chambers, Robert Burke, David B. Agus, Parag Mallick |
Bioinform. | 1 |