Nicolas Palopoli's repositories
Transform-to-Open-Science
Transformation to Open Science
open-research-community-management
Establishing cross-community collaborations and promoting open research in data science
3diphy
Maximum likelihood structural phylogenetics by including Foldseek 3Di characters. Supporting Information for Puente-Lelievre et al. 2023n for
collaborative-science-for-librarians
Lesson - A Path to Open, Inclusive, and Collaborative Science for Librarians - UCLA
ols-8
My fork of the OLS-8 repository
open-life-science.github.io
A mentoring program for Open Life Science
carpentries.org
The Carpentries Website
glosario
A multilingual glossary package.
about_writing
some generic (but hopefully still useful) recommendations on writing your thesis
training-material
A collection of Galaxy-related training material
pymol-psico
Pymol ScrIpt COllection (PSICO)
ensemble_viewer
GUI para visualizar ensembles de proteinas usando tkinter
pymolshortcuts
The repository pymolschortucts contains the a collection of shortcuts that are loaded on startup of PyMOL. These shortcuts enable websearches from within PyMOL as well as many other convienent functions that make work in PyMOL more productive..
IDP_Python
File from last lesson hackathon for comment: https://docs.google.com/document/d/18YHmSWaDwSukV3vkPpDgVVywifqg9OlUKlyJ3fLE7qc/edit?usp=sharing
2019-10-28-ttt-lima
Material del curso "Train the Trainer: Un taller de The Carpentries para aprender nuevas técnicas educativas" a dictarse en octubre de 2019 en PUCP, Lima, Perú
instructor-training
Software and Data Carpentry instructor training course material
handout
Turn Python scripts into handouts with Markdown and figures
Machine-learning-for-proteins
Listing of papers about machine learning for proteins.
Semantic-UI-CSS
CSS Only distribution
handbook
Community Documentation for the Carpentries
phylotree.js
Interactive viewer of phylogenetic trees
python-ecology-lesson
:page_with_curl: Data Carpentry Python lessons on ecology.
python-novice-inflammation
Software Carpentry introduction to Python for novices using inflammation data.