K-mer counting algorithms and count-data utilities for the BioJulia framework

Neural Signal Analysis

Utilities to read/write FASTA format files in Julia

✂️ Pooled CRISPR screen optimization tool

Receiver Operating Characteristic (ROC) Curve for Julia Language

Julia utilities for interacting with biomedical databases and biomedical application programming interfaces (APIs)

Functions and types to access GBIF data from Julia

Julia interface to APIs for various bio-related web services

Phylogenetic trees in Julia

Julia implemention of NEAT (NeuroEvolution of Augmenting Topologies) algorithm

(No maintenance) Detect gene fusion directly from raw fastq files

Julia package for diversity measurement

DCE MRI analysis in Julia

Julia Spiking Neural Network Simulator

A unified framework for skeletonization, morphological analysis, and connectivity analysis.

Datastructures and algorithms for working with genetic variation

Fast and scalable cell search tool

Methods for inferring undirected networks from data

Compressed storage for SNP data

A data structure for efficient manipulation of sets of intervals

Population Genetics in Julia

A lightweight and powerful Julia package for computational pipelines and workflows.

For analysis of microbiome and microbial community data

Neuroimaging in Julia

Neuroimaging in Julia

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Plotting and interface tools for biology.

Julia framework for spatial ecology - data types and utilities

A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.

High-level, high-performance, constraint-based reconstruction and analysis in Julia

Sequence alignment tools

Stochastic Gillespie-type simulations using Julia

Parse and process FASTA and FASTQ formatted files of biological sequences.

Choo-choo

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

(No maintenance) OpenGene, core libraries for NGS data analysis and bioinformatics in Julia

A modern genomics framework for julia

Everything you've never dreamed about measuring on ecological networks.

Everything you've never dreamed about measuring on ecological networks.

Inference of microbial interaction networks from large-scale heterogeneous abundance data