I’m re-starting the proteomics subgroup to develop a GeneLab consensus pipeline for processing proteomics data hosted on the OSDR. We will meet on the second Wednesday of each month starting on Wednesday, June 12th at the following times: 2-3pm PT | 5-6pm ET | 9-10pm GMT | Thursday 7-8am AEST (Melbourne).
If you are interested in joining this sub-group, please add your information to the table in the Proteomics_AWG_Subgroup_Members google doc.
Some people who may have experience and valuable input @Gbolaga_Olanrewaju @mmarto3 @mjr5770 @vinita.chauhan @ojaskulkarni5 (listed proteomics among their interest/expertise)
Look forward to attending with some of my team, we make LFQ analyst for data visualisation but as a facility we process and analyse every type of proteomics experiment (internally we work with prettt much every package, pipeline and data type) 
https://analyst-suites.org/
The top contenders for a universal type -processing pipeline- would be nf-core, msfragger based, or ms stats based, allowing interoperability.
I.e. universal inputs ideally, there are tools that can handle all types of inputs but choice of consensus types: LFQ, TMT, DIA, Silac, ITRAQ, Phos or PTM based integrations with or without matched total proteomes. Im not sure if anyone has done any interactomes
The question is whether one would also want the multi-layered data integration. I.e. proteomics, metabolomics, transcriptomics, methylomics, metap/g and functional integration. There are a couple of JS front ends than run python under the hood.
I know there are fecal samples from missions but i havent checked matching proteomics datasets on the repository, the integration of meta proteomics visualisations is a more complex thing, a few tools like iMetalab is a complete tool offering end to end processing and visualistion but some other more packaged pipelines exist now.
I will assemble a list as i have a few students who work in this space and our bioinformatics team have been considering flipping everything we do into a more a-synch environment. The issue here is that i know R and Nasa arent the best of friends for the OSDR website, but i guess it doesnt need to be r to vis. @asaravia @MultiOmicsAWG
Heard you all met! Exciting progress!
@asaravia @joel.steele Hossein Fazelinia @mjr5770 @vinita.chauhan @sudip.sharma.temple @terry.lim @barbara.novak @GabGoncalves @mohammadreza.dorvash also those not in here yet: Debbie Chong, Hailey Zhang, Hossein Valipourkahrod
Hello! I see this was posted in May. Is there any work left? Can I join? I am happy to put my information in the Google Doc.
Hello to you.
I think we can tag @asaravia for more info.
Hi everyone, @joel.steele,
To add to the metadata discussion, we were wondering about lipidomics data. Presumably, it has some assay-specific metadata not shared with either metabolomics or proteomics, but do those differences influence the processing pipeline? And if so, which metadata differences would be important to track?
thanks!
Barbara
Hey everyone,
I am Niskarsh Vikram Singh, JRF at central Ayurveda Research Institute, CCRAS, Ministry of AYUSH, GOI. I am a Bioinformatician, and to be precise, my research area is **Structural Biology and bioinformatics. I am highly interested in working on a **Proteomics, lipidomics, or genomics project.
I recently joined the OSDR AWG and It would be nice to have some guidance on how I can contribute and learn to be a valuable asset to the community. Also, trying to get familiar with all the things and stuff!
Welcome! Hope ok, went ahead and tagged Amanda and Barbara, so they get the heads up.
Did you find the meeting invite on the Forum-Space calendar?
https://awg.osdr.space/upcoming-events
Looks like the mtg is this next Wednesday, May 14
Welcome to the AWG 
Thanks and appreciate the sweet gesture 
And yeah, I found the invite and also registered for the Moon for Earth’s Future Farming webinar on 9th May.
Excited for the meeting on 14th may.
Hello , I am Deep Ranjan
I saw this post today only … And I want to join this subgroup for exploring the field of proteomics and learning about deep knowledge of proteomics.
Is there any space left so I can also contribute in this .
Thank you.
@asaravia @barbara.novak