CSBiology 

F# library supporting Dynamic Objects including inheritance in functional style.

Extensions, auxiliary functions and data structures for the F# programming language.

Package Description

F#-first linear algebra, machine learning, fitting, signal processing, and statistical testing.

A F# interactive charting library using plotly.js

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.

Fable compliant Spreadsheet creation and manipulation in FSharp

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.

BioFSharp aims to be a user-friendly library for Bioinformatics written in F#. This is the core package that contains optimized biological datastructures (For example aminoacdis, nucleotides, and sequences... More information

Excel IO Extensions for the FsSpreadsheet Datamodel

BioFSharp.IO contains read/write functions for a diverse set of biological file formats such as Fasta, FastQ, GeneBank or GFF, as well as helper function for searching on or transforming the input data

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

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

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

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

FSharp functions for streaming graph data to gephi

Extensions, auxiliary functions and data structures for the F# programming language.

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

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