CSBiology 

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

Package Description

Package Description

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

A F# interactive charting library using plotly.js

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 consisting of them) and core bioinformatic algorithms (such as alignments or pattern search).... More information

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

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

FSharp functions for streaming graph data to gephi

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

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

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 API on top of the docker daemon. We provide special functions to use with... More information

Data visualization for bioinformatic purposes

Image recognition and analysis using wavelet transformations

GPU parallelized functions from BioFSharp

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

Functionality to query data in the mzio model

MzIO.SQLite Data Reader

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