Shipei Xing

Postdoc @UCSD Dorrestein Lab | #Metabolomics #MassSpec #OpenScience

[Pieter Dorrestein @Pdorrestein1]

If you ever want to know if your favorite molecule or molecular family has been seen in public data and what metadata is associated with it - this is now possible. It searches four major repositories using a name or structure as in put to search the molecule or substructure.

[Shipei Xing @Shipei_Xing]

I will be presenting our new insights into imaging MS data annotation. Welcome to join and discuss! https://t.co/LBLI64z7xp

[CMMC @MicrobialCMMC]

We are back again with the April Molecule of the month featuring Colibactin! Check out more at https://t.co/sNGeJPJXKt

[CMMC @MicrobialCMMC]

Happy new year to all! We are back again with TWO featured metabolites. Check it out at https://t.co/fuMfD943WM

[Pieter Dorrestein @Pdorrestein1]

To register use https://t.co/SpND2xZE2l

[CMMC @MicrobialCMMC]

Here’s all the JUICE on Uros…

[CMMC @MicrobialCMMC]

Ever wondered if there was a knowledgebase made for the characterization of microbial metabolites?
That’s us!
CMMC enables the shared use of data collected on these microbes by allowing streamlined deposition, sharing analysis tools, training, and more!
https://t.co/sNGeJPJXKt

[Peng Gao @penggaos]

I'm thrilled to join @HarvardEnvHlth as Asst Prof of Environmental Health & Exposomics in Nov 2024! Deeply grateful to Pitt for 2.5 incredible years of growth and collaboration. Seeking talented postdocs to join our team in applying exposomics at population and cellular levels!

[Scholarship for PhD @ScholarshipfPhd]

Ten Simple Rules for Making Good Oral Presentations (1/2)

[Shipei Xing @Shipei_Xing]

Thanks! 😊

[EMN Metabolomics Society @EMN_MetSoc]

Introducing Shipei for #ECRVoices
@Shipei_Xing is working on #MassSpectrometry and he is based in San Diego, USA 🇺🇸

[Wender Gomes @pwpgomes]

Happy to see plantMASST out (https://t.co/t199ireqQH). It is a community-curated database of nearly 20,000 LC-MS/MS data files from ~2,800 plant species, making them searchable. This allows one to directly connect plant's metabolites to their taxonomic distribution [1/4]

[Robin Schmid @rschmid1789]

mzmine protocol just came out! Download the latest mzmine 4, jump into the wizard, and try it on your own #MS data! Special thanks to my best coding pal @HeuSteffen and to @damiani_tito, @tomas_pluskal et al. for the amazing co-working xp on this article.
https://t.co/qujwISTl1y

[Pieter Dorrestein @Pdorrestein1]

The lab made it to the top on our monthly lab outing with @KnightLabNews

[Pieter Dorrestein @Pdorrestein1]

There is currently not a single bile acid detection protocol that can fully capture the true diversity of bile acids, and, as a result, the ability to comprehensively detect and describe the extensive bile acid metabolic network represents a 21st century analytical challenge!!!

[Xiaotao Shen @xiaotaoshen1990]

So honored to be part of this great project led by Chen from Chao's lab. @Chao_Jiang1 Check and try it out!
Generalized reporter score-based enrichment analysis for omics data https://t.co/DmrVNPPWDW

[BioMassSpec @realBioMassSpec]

Tailored Mass Spectral Data Exploration Using the SpecXplore Interactive Dashboard #AC https://t.co/QK5YtgswTj

[Shipei Xing @Shipei_Xing]

@FanruiSha @Farhomies @NUChemistry Congrats! 🎉

[Shipei Xing @Shipei_Xing]

It’s super exciting to see this paper online. This really shows the power of MassQL in large-scale compound discovery.

[Pieter Dorrestein @Pdorrestein1]

If you enjoy bile acids, then this will be a fun read and a resource for you. It shows that we can begin using untargeted metabolomics big data mining using a mass spec query language to discover new molecules in animals and humans.
https://t.co/X8AL87iw4v

[Ming "Tommy" Tang @tangming2005]

1/ 5 papers all computational biologists should read:

1. A Quick Guide to Organizing Computational Biology Projects https://t.co/guhH5cPyeR

[Pieter Dorrestein @Pdorrestein1]

Call to the microbiome community. We are building a collaborative microbial metabolite center (CMMC) knowledgbase resource to allow direct connection of microbiome derived molecules, their producers and activities. If you have published papers and want to add your 1/