machine learning for genomic variants
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Updated
Apr 15, 2024 - JavaScript
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.
machine learning for genomic variants
🔬 Bioinformatics Notebook. Scripts for bioinformatics pipelines, with quick start guides for programs and video demonstrations.
Automated generation of tailored bioinformatics Jupyter Notebooks via a user interface.
Gene Set Enrichment Analysis and Over Representation Analysis analysis using R
Biopython Jupyter Notebook tutorial to characterize a small genome
Platform for integrating genomic analysis with Jupyter Notebooks.
Examples using Clustergrammer2 to explore high-dimensional datasets.
A Julia package to view macromolecular structures in the REPL, in a Jupyter notebook/JupyterLab or in Pluto
Notebooks demonstrating the usage of PyBEL and PyBEL Tools
A collection of iPython notebooks exploring topics in Big Data
Different tasks from the field of data science applied on typical bioinformatic data. Mainly used packages are numpy and scipy and the code is organized in jupyter notebooks.
📓Notebook of Climente-González et al. (2020), Combining network-guided GWAS to discover susceptibility mechanisms for breast cancer.
BioJava examples in Jupyter Notebooks
Biological data-science Jupyter notebooks designed for biodatascience101.github.io
LocusZoom in Jupyter notebooks
SEEK API Library for Jupyter-Notebook
Example notebooks utilizing the GenePattern Notebook environment.
A Jupyter Docker Stack for Plant Scientists and Breeders
Jupyter notebook examples of SCOP3P REST API services
Code, notebooks, and resources for exploring and analyzing mechanistic knowledge graphs about 'rona