Bioinformatics is an interdisciplinary field that intersects with biology, computer science, mathematics and statistics. It concerns itself with the development and use of methods and software tools for collecting and analyzing biological data.
🔬 Bioinformatics Notebook. Scripts for bioinformatics pipelines, with quick start guides for programs and video demonstrations.
Gene Set Enrichment Analysis and Over Representation Analysis analysis using R
Platform for integrating genomic analysis with Jupyter Notebooks.
Examples using Clustergrammer2 to explore high-dimensional datasets.
An app store for scientific workflows, tools, notebooks, and services
Biopython Jupyter Notebook tutorial to characterize a small genome
Automated generation of tailored bioinformatics Jupyter Notebooks via a user interface.
Notebooks demonstrating the usage of PyBEL and PyBEL Tools
An aviary-based data science agent based on jupyter notebooks
machine learning for genomic variants
Biological data-science Jupyter notebooks designed for biodatascience101.github.io
A Julia package to view macromolecular structures in the REPL, in a Jupyter notebook/JupyterLab or in Pluto
Repository of Jupyter Notebooks created by the Bio2Byte group
BioJava examples in Jupyter Notebooks
Laboratoare licență anul IV — Bioinformatica și Genomică Funcțională, cu focus pe ML, rețele și GenAI.
LocusZoom in Jupyter notebooks
A lightweight introduction to NextFlow, a workflow description language and engine for (mainly) bioinformatics workflows. Leverages notebooks for easy teaching.
A collection of iPython notebooks exploring topics in Big Data
SEEK API Library for Jupyter-Notebook
Final year project experimenting with clustering and topological data analysis of scRNA-seq data using Python and R across two Jupyter notebooks