Version 2.1 of the QC:MXP repeat-injection derived batch correction app is now available to download at qcmxp.org.
I thought it would be fun to revisit an old data set from Craig Wheelock's lab - doi.org/10.1183/1399....
16 batch, 880 subjects, 224 pooled QC injections, 100+ curated metabolites.
For the love of god put the sample size in the abstract
I am very proud to announce the 2nd Philippine Metabolomics Network Annual Conference.
This is a free 1-day conference in Manila to boost metabolomics in the country.
Includes workshops on Metabolomics QC by @davidbroadhurst.bsky.social and GNPS by Wout Bittremieux
UGent Global Minds Fund
šØ š¢ Iām #hiring!!! I am looking for an experienced #metabolomics scientist with a particular focus on LC-MS. Please follow the link below for more details and how to apply! š¢ šØ
Applications close at 23:59 on May 23rd!!!
www.crick.ac.uk/careers-stud...
Happy to share our recent opinon piece on how the cross section of ageing, metabolism and palaeoanthropolgy research areas hold promise is uncovering novel routes in human evolution.
authors.elsevier.com/a/1k%7E4KArD...
Save the date: the 5th anniversary of the Glasgow Computational Biology Conference. 15th and 16th of September at University of Glasgow Advanced Research Centre. Details to follow soon!
glasgow-compbio.github.io/conference/2...
QC:MXP version 2.0 is now available to download for free from my GitHub page: www.qcmxp.org
Repeat-injection-based Quality Control, Batch Correction, Exploration & Data Cleaning. #Metabolomics #AnalyticalChemistry #Matlab
QC:MXP version 2.0 is now available to download for free from my GitHub page: www.qcmxp.org
Repeat-injection-based Quality Control, Batch Correction, Exploration & Data Cleaning. #Metabolomics #AnalyticalChemistry #Matlab
Updates in š¦ #xcms #rstats #metabolomics package:
š retention time alignment against external data set
š chromatographic peak quality metrics
š performance improvements
Available in @bioconductor.bsky.social release 3.21 š
Up next: memory-saving analysis of very large data sets š
#TeamMassSpec
And big thanks also to the @eubic-ms.org hackathon team contributing to our #SpectriPy package github.com/RforMassSpec... !
Next on the list submission of the package to š @bioconductor.bsky.social