32 packages returned for Tags:"bioinformatics"

.NET Bio is an open source bioinformatics/genomics library for .NET Standard 2.0 that is designed to enable simple loading, saving and analysis of biological data. It includes several common parsers as well as a variety of algorithms for pairwise/multiple alignment and assembly operations.

Proyecto experimental para el estudio de biosecuencias en el grupo DESTINO

Open source bioinformatics and computational biology toolbox written in F#.

The common database reader includes: NCBI genbank reader NCBI gff/PTT feature sites document reader KEGG DBGET/LinkDB/BriteText/SSDB rest API MetaCyc database parser Common Fasta sequence database I/O DOOR database reader etc.

Statistical functions with a clear biological focus written in F#.

Read/write functions for various biological file formats

Implementations of compression schemes for numeric data from mass spectrometers. Inofficial nuget package

This library provides the NCBI blast+ output parser and some data analysis API, like SBH, BBH, venn diagram analysis. This package also provides a batch schedule extension for the large scale localblast alignment parallel task in multiple localblast process. project source code can be download from... More information

Data visualization for bioinformatic purposes

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.

imlp predicts iMTS-L propensity profiles of protein sequences of interest

Open source bioinformatics and computational biology toolbox written in F#.

Machine learning with BioFSharp and CNTK.Net.

Bioinformatics in F#

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

Functional graph-library written in F#

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

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.

Image recognition and analysis using wavelet transformations

API access to powerful popular bioinformatic databases