Demo Data from SIGIR 2026 / reviewers in the wild / expert
Hiromu Takizawa
dblp:130/1139
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 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
1 paper |
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 › systems biology
ODE model simulation |
0.2 | 1 | 2013 | LibSBMLSim: a reference implementation of fully functional SBML simulator · Bioinform. 2013 |
Bioinformatics and computational biology › systems biology › SBML
SBML model simulation |
0.2 | 1 | 2013 | LibSBMLSim: a reference implementation of fully functional SBML simulator · Bioinform. 2013 |
Bioinformatics and computational biology
systems biology |
0.2 | 1 | 2013 | LibSBMLSim: a reference implementation of fully functional SBML simulator · Bioinform. 2013 |
Methods — techniques the papers use, named apart from their topics
implicit numerical integration · 0.2explicit numerical integration · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | LibSBMLSim: a reference implementation of fully functional SBML simulatorabstractMOTIVATION: The Systems Biology Markup Language (SBML) is currently supported by >230 software tools, among which 160 support numerical integration of ordinary differential equation (ODE) models. Although SBML is a widely accepted standard within this field, there is still no language-neutral library that supports all features of SBML for simulating ODE models. Therefore, a demand exists for a simple portable implementation of a numerical integrator that supports SBML to enhance the development of a computational platform for systems biology. RESULTS: We implemented a library called libSBMLSim, which supports all the features of SBML and confirmed that the library passes all tests in the SBML test suite including those for SBML Events, AlgebraicRules, 'fast' attribute on Reactions and Delay. LibSBMLSim is implemented in the C programming language and does not depend on any third-party library except libSBML, which is a library to handle SBML documents. For the numerical integrator, both explicit and implicit methods are written from scratch to support all the functionality of SBML features in a straightforward implementation. We succeeded in implementing libSBMLSim as a platform-independent library that can run on most common operating systems (Windows, MacOSX and Linux) and also provides several language bindings (Java, C#, Python and Ruby). AVAILABILITY: The source code of libSBMLSim is available from http://fun.bio.keio.ac.jp/software/libsbmlsim/. LibSBMLSim is distributed under the terms of LGPL. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Hiromu Takizawa, Kazushige Nakamura, Akito Tabira, Yoichi Chikahara, Tatsuhiro Matsui, Noriko Hiroi, Akira Funahashi |
Bioinform. | 1 |