CSBiology 

F# library supporting Dynamic Objects including inheritance in functional style. Compatible with Fable javascript and python transpilation.

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.

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

Fable compliant Spreadsheet creation and manipulation in FSharp

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 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.

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

A pragmatic approach to network science.

ARC helper functions for filesystem management.

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

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.

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

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

ARC helper functions for Common workflow language.

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