CSBiology 

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

Statistical functions with a clear biological focus such as Gene Set Enrichment Analysis (GSEA)

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.

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.

FSharp functions for streaming graph data to gephi

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

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

Functional graph-library written in F#

Create Fornax template with Nfdi4Plants.Fornax.

Make your workflow ML ready with BioFSharp.ML. Currently contains helper functionf for CNTK and a pre-trained model we used in our publication about predicting peptide observability.

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.

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.

BioFSharp.BioContainers gives you the possibility to leverage containerized applications without leaving you F# environment. We build on the fondation of Docker.DotNet to programmatically access the the REST... More information

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.

Data visualization for bioinformatic purposes

Functionality to query data in the mzio model

GPU parallelized functions from BioFSharp

MzIO.SQLite Data Reader