37 packages returned for Tags:"biology"

.NET Bio is an open source bioinformatics/genomics library for .NET Standard 2.0 that is designed to enable simple loading, saving and analysis of biological data. It includes several common parsers as well as... More information

Open source bioinformatics and computational biology toolbox written in F#.

ISA compliant experimental metadata toolkit in F#. This project is meant as an easy means to open, manipulate and save ISA (Investigation,Study,Assay) metadata files in the dotnet environment.

A .NET library & program for annotating, & editing various microscopy imaging formats using Bioformats supported images. including whole slide, pyramidal & series.

Read/write functions for various biological file formats

A .NET application & library for editing & annotating various microscopy image formats. Supports all bioformats supported images. Integrates with ImageJ, running ImageJ filters & macro functions. Supports... More information

Version of AForge Imaging Library used by Bio Library to support 16bit & 48bit images running on Windows, Mac, & Linux.

A .NET microscopy imaging application based on Bio library. Supports various microscopes by using imported libraries & GUI automation. Supported libraries include Prior® & Zeiss® & all devices supported by... More information

A GUI-less version of Bio .NET library for editing & annotating various microscopy image formats. Supports all bioformats supported images. Integrates with ImageJ, running ImageJ filters & macro functions.... More information

Machine learning with BioFSharp and CNTK.Net.

Excel File IO methods for ISA compliant experimental metadata toolkit in F#. The underlying datamodel can be directly read from and written to ISA-Json and ISA-Excel (ISATab format) files.

Functional graph-library written in F#

Fable compliant release for the ISA compliant experimental metadata toolkit in F#. Additionally to the compiled library, it is shipped with the uncompiled code.

An experimental .NET library for processing different types of biological sequences

Open source bioinformatics and computational biology toolbox written in F#.

TMEA (Thermodynamically Motivated Enrichment Analysis) is a thermodynamically motivated approach to gene set enrichment analysis

Visualization extensions for ISA compliant experimental metadata toolkit in F#. This project helps visualize the experimental workflow described in the experiment metadata.

API access to powerful popular bioinformatic databases

Image recognition and analysis using wavelet transformations

Querying extensions for the ISA compliant experimental metadata toolkit in F#. This project is meant to allow easy, integrative and ontology guided access to experimental metadata.