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.
A Julia package to view macromolecular structures in the REPL, in a Jupyter notebook/JupyterLab or in Pluto
This notebook does the analysis of a protein sequence dataset in FASTA format. It addresses challenges in data import, alignment, embedding, and classification using bioinformatics tools and machine learning techniques. The solution provides a systematic approach to extract insights from structured data, crucial for bioinformatics research.
Website and Colab notebook re: use of mass spec peptides to identify protein isoforms
iTASSER Notebook
Repository of Jupyter Notebooks created by the Bio2Byte group
Platform for integrating genomic analysis with Jupyter Notebooks.
Jupyter notebook examples of SCOP3P REST API services
My notebooks from the exercises of Programming for bioinformatics (PBio) with python.
machine learning for genomic variants
General-purpose repository for illustrative examples on coding and data analysis
This mini-guide contains some simple practical examples of data retrieval for main biological data archives sites. In addition, specific sections of the notebook have been devoted to collecting, summarizing, and clarifying the available documentation.
Notebooks and examples for DeepVariant on Spark project.
Notebooks for exercise and reference
The notebook for counting the size of C2H2 domain clusters in C2H2 proteins
Example notebooks of PyFlowBAT functionality.
Deep unsupervised learning methods for the identification and characterization of TCR specificity to Sars-Cov-2
Biological data-science Jupyter notebooks designed for biodatascience101.github.io
A Jupyter Docker Stack for Plant Scientists and Breeders
Predict protein folding structures using ColabFold. Gain a deeper understanding of protein folding prediction with AlphaFold2 and MMseqs2. Run the Jupyter notebook on UCloud, learn to interpret results, predict protein structures of interest. Technical requirements provided. Enhance your knowledge of protein folding and AlphaFold2's principles. Fam
LocusZoom in Jupyter notebooks