RECETOX RI (EIRENE-CZ) (RECETOX)

RECETOX RI (EIRENE-CZ)

RECETOX

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At RECETOX we are engaged in research and education in the management of environmental and health risks associated with the chemicals around us.

Location:Brno, Czechia

Home Page:https://www.recetox.muni.cz/

Twitter:@RECETOX

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RECETOX RI (EIRENE-CZ)'s repositories

galaxytools

Set of Galaxy tool wrappers developed at RECETOX

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MSMetaEnhancer

Tool for mass spectra metadata annotation.

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recetox-xMSannotator

This is a custom adaptation of the original version of xMSannotator. It is a complete rewrite of the original functionality, following the same program structure.

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recetox-aplcms

This is a custom fork of apLCMS containing adaptations for large scale studies.

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RIAssigner

RIAssigner is a python tool for retention index (RI) computation for GC-MS data.

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workflow-testing

Contains RECETOX workflows with automated tests against our instance at https://umsa.cerit-sc.cz/

training-material

A collection of Galaxy-related training material

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apLCMS

fork of https://github.com/tianwei-yu/apLCMS

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raims

Recetox AI MS aproaches

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ei_spectra_predictions

This repository contains the workflow and supporting information for "Quantum chemistry based prediction of electron ionization mass spectra for environmental chemicals".

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galaxy

Data intensive science for everyone.

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MFAssignR

The MFAssignR package was designed for multi-element molecular formula (MF) assignment of ultrahigh resolution mass spectrometry measurements. A number of tools for internal mass recalibration, MF assignment, signal-to-noise evaluation, and unambiguous formula selections are provided.

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MSPannotator

Repository for tool that add more annotations (e.g. SMILES, InChI) to chemical identifiers based on CAS number.

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python-template

Netherlands eScience Center Python Template

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RAMClustR

Assigning precursor-product ion relationships in indiscriminant MS/MS data

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Retip

Retip - Retention Time prediction for metabolomics

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WaveICA

Removal of batch effects for large-scale untargeted metabolomics data based on wavelet transform.

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WaveICA_2.0

Removing batch effects for untargeted metabolomics data without using batch information

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