CSBiology 

ARC and 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 pragmatic approach to network science.

ARC helper functions for Parsing YAML files.

A data model of the ARC concept via it's RO Crate profile

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

ARC and ISA xlsx compliant parser for 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 isa-xlsx format.

ARC and ISA json compliant parser for 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 isa-json format.

Loaders, web-component integration and general structures for the Nfdi4Plants documentation

FSharp wrapper for Open XML SDK, allowing Excel File reading and manipulation

Statistical functions with a clear biological focus written in F#.

Excel IO Extensions for the FsSpreadsheet Datamodel

Library for management of Annotated Research Contexts (ARCs) using an in-memory representation and runtime agnostic contract systems.

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

Data visualization for bioinformatic purposes

Generic data model to unify various readers and writers for different formats used in protein mass spectrometry

Machine learning with BioFSharp and CNTK.Net.

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

FSharp functions for streaming graph data to gephi

API access to powerful popular bioinformatic databases

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.