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
Automated generation of tailored bioinformatics Jupyter Notebooks via a user interface.
Biopython Jupyter Notebook tutorial to characterize a small genome
Notebooks demonstrating the usage of PyBEL and PyBEL Tools
machine learning for genomic variants
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
Biological data-science Jupyter notebooks designed for biodatascience101.github.io
LocusZoom in Jupyter notebooks
Notebooks for exercise and reference
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
📓 Minimal cheatsheet for functions in the phyloseq R package
Notebooks and examples for DeepVariant on Spark project.