Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Jaime Rodríguez-Guerra Pedregal

dblp:203/7357 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0001-8974-1566ORCID · reported

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 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › molecular informatics
molecular visualization
0.312018
PyChimera: use UCSF Chimera modules in any Python 2.7 project · Bioinform. 2018
Bioinformatics and computational biology
structural biology
0.312018
PyChimera: use UCSF Chimera modules in any Python 2.7 project · Bioinform. 2018
YearPublicationVenuePosition
2018 PyChimera: use UCSF Chimera modules in any Python 2.7 project
abstract
Motivation: UCSF Chimera is a powerful visualization tool remarkably present in the computational chemistry and structural biology communities. Built on a C++ core wrapped under a Python 2.7 environment, one could expect to easily import UCSF Chimera's arsenal of resources in custom scripts or software projects. Nonetheless, this is not readily possible if the script is not executed within UCSF Chimera due to the isolation of the platform. UCSF ChimeraX, successor to the original Chimera, partially solves the problem but yet major upgrades need to be undergone so that this updated version can offer all UCSF Chimera features. Results: PyChimera has been developed to overcome these limitations and provide access to the UCSF Chimera codebase from any Python 2.7 interpreter, including interactive programming with tools like IPython and Jupyter Notebooks, making it easier to use with additional third-party software. Availability and implementation: PyChimera is LGPL-licensed and available at https://github.com/insilichem/pychimera. Contact: [email protected] or [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online.
Jaime Rodríguez-Guerra Pedregal, Jean-Didier Maréchal
Bioinform.1