korseby Goto Github PK

bioconda-recipes

Conda recipes for the bioconda channel.

bioimage_submission

Scripts for submitting data to bioimaging repositories

camera

This is the git repository matching the Bioconductor package CAMERA: Collection of annotation related methods for mass spectrometry data

classifier_mfam

classyfirer_mfam

container-batman

container-galaxy

Docker GALAXY image for PhenoMeNal and beyond

container-metfamily

Dockerify R shiny-server

container-metfamily-dev

Dockerify R shiny-server (development version)

container-metfrag

initial work in progress

container-msnbase

Basic plotting, data manipulation and processing of MS-based Proteomics data.

container-mtbls520

Code used in "Computational workflow to study the seasonal variation of secondary metabolites in nine different bryophytes" and in MTBLS520

container-mtbls709

Code for the study "Chemical diversity and classification of secondary metabolites in nine bryophyte species"

container-nmrml

container-openmstoxcms

This is simple container for converting OpenMS to XCMS

container-plainr

Dockerify plain R

container-tufuse

Docker container for Tufuse (Two Stage Exposure and Focus Blending Software)

container-w4m

Dockerify Workflow4Metabolomics: plain GALAXY

create_image_stacks

Create image stacks based upon xmp label and filenames

galaxy-image-fusion

galaxy-image-stitching

iestimate

Identifying ESsenTIal Molecular vAriables in Terrestrial Ecology

isatab-datasets

ISA-Tab descriptions of DataSets created and managed at the IPB

iselect_finder

Miscellaneous Applescripts for use with the Mac OS X Finder.

kml_remove_duplicates

Remove duplicate entries in KML files

korseby-scripts

Over the years I have made lots of shell scripts to improve speed and easiness of daily computer work.

massbank-data

Official repository of open data MassBank records

mensa-csv

mensa-csv fetches a list + prices of lunches and saves them in a csv file

metfamily

Understanding metabolism is fundamental in biomedical and plant research and the identification and quantification of thousands of metabolites by mass spectrometry in modern metabolomics is a prerequisite for elucidating this area. However, the identification of metabolites is a major bottleneck in traditional approaches hampering advances. Here, we present a novel approach for the untargeted discovery of metabolite families offering a bird's eye view of metabolic regulation in comparative metabolomics. We implemented the presented methodology in the easy-to-use web application MetFamily to enable the analysis of comprehensive metabolomics studies for all researchers worldwide. MetFamily is available under http://msbi.ipb-halle.de/MetFamily/.

metfrag-galaxy

Metfrag for Galaxy