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Steve Ma

dblp:97/4069 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

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%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › systems biology › computational systems biology
systems biology modeling
0.712023
VSCode-Antimony: a source editor for building, analyzing, and translating antimony models · Bioinform. 2023
Electronic design automation › design methodology
design abstraction levels
0.011994
PESDA and Design Abstraction: How High is Up? (Panel) · DAC 1994
Electronic design automation
system-level design
0.011994
PESDA and Design Abstraction: How High is Up? (Panel) · DAC 1994

Methods — techniques the papers use, named apart from their topics

query system · 0.7model translation · 0.7grammar analysis · 0.7
YearPublicationVenuePosition
2023 VSCode-Antimony: a source editor for building, analyzing, and translating antimony models
abstract
MOTIVATION: Developing biochemical models in systems biology is a complex, knowledge-intensive activity. Some modelers (especially novices) benefit from model development tools with a graphical user interface. However, as with the development of complex software, text-based representations of models provide many benefits for advanced model development. At present, the tools for text-based model development are limited, typically just a textual editor that provides features such as copy, paste, find, and replace. Since these tools are not "model aware," they do not provide features for: (i) model building such as autocompletion of species names; (ii) model analysis such as hover messages that provide information about chemical species; and (iii) model translation to convert between model representations. We refer to these as BAT features. RESULTS: We present VSCode-Antimony, a tool for building, analyzing, and translating models written in the Antimony modeling language, a human readable representation of Systems Biology Markup Language (SBML) models. VSCode-Antimony is a source editor, a tool with language-aware features. For example, there is autocompletion of variable names to assist with model building, hover messages that aid in model analysis, and translation between XML and Antimony representations of SBML models. These features result from making VSCode-Antimony model-aware by incorporating several sophisticated capabilities: analysis of the Antimony grammar (e.g. to identify model symbols and their types); a query system for accessing knowledge sources for chemical species and reactions; and automatic conversion between different model representations (e.g. between Antimony and SBML). AVAILABILITY AND IMPLEMENTATION: VSCode-Antimony is available as an open source extension in the VSCode Marketplace https://marketplace.visualstudio.com/items?itemName=stevem.vscode-antimony. Source code can be found at https://github.com/sys-bio/vscode-antimony.
Steve Ma, Longxuan Fan, Sai Anish Konanki, Eva Liu, John H. Gennari, Lucian P. Smith, Joseph L. Hellerstein, Herbert M. Sauro
Bioinform.1
1994 PESDA and Design Abstraction: How High is Up? (Panel)
abstract
No abstract available.
Geoffrey Bunza, Steve Schulz, Tommy Jansson, Alex Silbey, Steve Ma, Edward H. Frank
DAC5