Stars
A pipeline to quantify COVD-19 infected RNA-Seq samples
Reproducible bioinformatics pipelines in python. Import any Unix tool/command in python.
methods for orphan gene prediction paper optimization
Quickly and accurately render even the largest data.
Python packaging and dependency management made easy
A terminal spreadsheet multitool for discovering and arranging data
a python package for fast random access to sequences from plain and gzipped FASTA/Q files
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
music21: a Toolkit for Computer-Aided Musical Analysis and Computational Musicology
R package: tabr. Notation-based and tidy music data analysis and transcription.
Create datasets with identical summary statistics
Refine.bio harmonizes petabytes of publicly available biological data into ready-to-use datasets for cancer researchers and AI/ML scientists.
A high-performance, Pythonic language for bioinformatics
Statistical Machine Intelligence & Learning Engine
Provides a Java API to use the JavaScript library d3.js with the JavaFx WebView
Easily convert csv/tsv to excel (xlsx) taking care of gene names or other data vulnerable to auto conversion by MS-Excel
African Americans and European Americans exhibit distinct gene expression patterns across tissues and tumors that are associated with immunologic and infectious functions and environmental exposures
Collections of library structure and sequence of popular single cell genomic methods
📖🔬☕ BioJava is an open-source project dedicated to providing a Java library for processing biological data.
Reproducibility repository accompanying Wilk, Rustagi, Zhao, et al. "A single-cell atlas of the peripheral immune response to severe COVID-19"
PCAtools: everything Principal Components Analysis
A repository for sharing information on available COVID-19 RNA-Seq datasets
Magenta: Music and Art Generation with Machine Intelligence
A SingleCell RNASeq pre-processing snakemake workflow