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Marine Sivade

dblp:79/9915 · also Marine Dumousseau · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 4 · 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
3 papers
Bioinformatics and computational biology · 100%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › structural bioinformatics
molecular complex visualization
0.312017
ComplexViewer: visualization of curated macromolecular complexes · Bioinform. 2017
Bioinformatics and computational biology
structural bioinformatics
0.312017
ComplexViewer: visualization of curated macromolecular complexes · Bioinform. 2017
Bioinformatics and computational biology
biological data visualization
0.212013
BioJS: an open source JavaScript framework for biological data visualization · Bioinform. 2013
Bioinformatics and computational biology › systems biology › model exchange format
systems biology model exchange
0.112011
JSBML: a flexible Java library for working with SBML · Bioinform. 2011
Visualization and visual analytics › biological data visualization
biological network visualization
0.112017
ComplexViewer: visualization of curated macromolecular complexes · Bioinform. 2017
Bioinformatics and computational biology
software infrastructure
0.012013
BioJS: an open source JavaScript framework for biological data visualization · Bioinform. 2013

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

scalable vector graphics · 0.6d3.js · 0.6javascript · 0.2community-driven specification · 0.2java library design · 0.1API compatibility · 0.1
YearPublicationVenuePosition
2017 ComplexViewer: visualization of curated macromolecular complexes
abstract
SUMMARY: Proteins frequently function as parts of complexes, assemblages of multiple proteins and other biomolecules, yet network visualizations usually only show proteins as parts of binary interactions. ComplexViewer visualizes interactions with more than two participants and thereby avoids the need to first expand these into multiple binary interactions. Furthermore, if binding regions between molecules are known then these can be displayed in the context of the larger complex. AVAILABILITY AND IMPLEMENTATION: freely available under Apache version 2 license; EMBL-EBI Complex Portal: http://www.ebi.ac.uk/complexportal; Source code: https://github.com/MICommunity/ComplexViewer; Package: https://www.npmjs.com/package/complexviewer; http://biojs.io/d/complexviewer. Language: JavaScript; Web technology: Scalable Vector Graphics; Libraries: D3.js. CONTACT: [email protected] or [email protected].
Colin W. Combe, Marine Sivade, Henning Hermjakob, Joshua Heimbach, Birgit Meldal, Gos Micklem, Sandra E. Orchard, Juri Rappsilber
Bioinform.2
2013 BioJS: an open source JavaScript framework for biological data visualization
abstract
SUMMARY: BioJS is an open-source project whose main objective is the visualization of biological data in JavaScript. BioJS provides an easy-to-use consistent framework for bioinformatics application programmers. It follows a community-driven standard specification that includes a collection of components purposely designed to require a very simple configuration and installation. In addition to the programming framework, BioJS provides a centralized repository of components available for reutilization by the bioinformatics community. AVAILABILITY AND IMPLEMENTATION: http://code.google.com/p/biojs/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
John Gómez, Leyla Jael Castro, Gustavo A. Salazar, Jose M. Villaveces, Swanand P. Gore, Alexander García Castro, Maria Jesus Martin, Guillaume Launay, Rafael Alcántara, Noemi del-Toro, Marine Sivade, Sandra E. Orchard, Sameer Velankar, Henning Hermjakob, Chenggong Zong, Peipei Ping, Manuel Corpas, Rafael C. Jiménez
Bioinform.11
2012 MELTING, a flexible platform to predict the melting temperatures of nucleic acids
abstract
BACKGROUND: Computing accurate nucleic acid melting temperatures has become a crucial step for the efficiency and the optimisation of numerous molecular biology techniques such as in situ hybridization, PCR, antigene targeting, and microarrays. MELTING is a free open source software which computes the enthalpy, entropy and melting temperature of nucleic acids. MELTING 4.2 was able to handle several types of hybridization such as DNA/DNA, RNA/RNA, DNA/RNA and provided corrections to melting temperatures due to the presence of sodium. The program can use either an approximative approach or a more accurate Nearest-Neighbor approach. RESULTS: Two new versions of the MELTING software have been released. MELTING 4.3 is a direct update of version 4.2, integrating newly available thermodynamic parameters for inosine, a modified adenine base with an universal base capacity, and incorporates a correction for magnesium. MELTING 5 is a complete reimplementation which allows much greater flexibility and extensibility. It incorporates all the thermodynamic parameters and corrections provided in MELTING 4.x and introduces a large set of thermodynamic formulae and parameters, to facilitate the calculation of melting temperatures for perfectly matching sequences, mismatches, bulge loops, CNG repeats, dangling ends, inosines, locked nucleic acids, 2-hydroxyadenines and azobenzenes. It also includes temperature corrections for monovalent ions (sodium, potassium, Tris), magnesium ions and commonly used denaturing agents such as formamide and DMSO. CONCLUSIONS: MELTING is a useful and very flexible tool for predicting melting temperatures using approximative formulae or Nearest-Neighbor approaches, where one can select different sets of Nearest-Neighbor parameters, corrections and formulae. Both versions are freely available at http://sourceforge.net/projects/melting/and at http://www.ebi.ac.uk/compneur-srv/melting/under the terms of the GPL license.
Marine Sivade, Nicolas Rodriguez 0001, Nick S. Juty, Nicolas Le Novère
BMC Bioinform.1
2011 JSBML: a flexible Java library for working with SBML
abstract
SUMMARY: The specifications of the Systems Biology Markup Language (SBML) define standards for storing and exchanging computer models of biological processes in text files. In order to perform model simulations, graphical visualizations and other software manipulations, an in-memory representation of SBML is required. We developed JSBML for this purpose. In contrast to prior implementations of SBML APIs, JSBML has been designed from the ground up for the Java programming language, and can therefore be used on all platforms supported by a Java Runtime Environment. This offers important benefits for Java users, including the ability to distribute software as Java Web Start applications. JSBML supports all SBML Levels and Versions through Level 3 Version 1, and we have strived to maintain the highest possible degree of compatibility with the popular library libSBML. JSBML also supports modules that can facilitate the development of plugins for end user applications, as well as ease migration from a libSBML-based backend. AVAILABILITY: Source code, binaries and documentation for JSBML can be freely obtained under the terms of the LGPL 2.1 from the website http://sbml.org/Software/JSBML.
Andreas Dräger, Nicolas Rodriguez 0001, Marine Sivade, Alexander Dörr, Clemens Wrzodek, Nicolas Le Novère, Andreas Zell, Michael Hucka
Bioinform.3