CSBiology 

A F# interactive charting library using plotly.js

Package Description

Package Description

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

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

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

FSharp functions for streaming graph data to gephi

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

API access to powerful popular bioinformatic databases

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.

Image recognition and analysis using wavelet transformations

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

GPU parallelized functions from BioFSharp

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

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

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

MzML Data Reader

BioFSharp.Mz - modular computational proteomics