Top Tweets for #MolNetEnhancer
@ms2lda and #MolNetEnhancer were used to further enhance structure annotations by #substructure #discovery and #chemical #compound #class assignments. These illuminated the chemical richness of the #CompMetabolomics studied Cannabis cultivars.
@ms2lda #substructure #discovery and #MolNetEnhancer further supported our chemical investigation by aiding scaffold recognition and appreciating the chemical diversity in the Cannabis leaf and flower extracts π #CompMetabolomics
Using @GNPS_UCSD FBMN & #MolNetEnhancer together with various % olive π« oil waste additive conditions, we saw abundance of healthy molecular families increasing, whilst a toxic one decreased! A large portion of π metabolites was annotated with #CompMetabolomics strategies! π
Congratulations to Kgalaletso Othibeng, @Lerato_Pertu and @fideletu πππ
Simple, easy to follow, step by step protocol on @GNPS_UCSD tools #molecularnetworking #FBMN #MS2LDA #molnetenhancer
#computational #metabolomics in #plant #science #agriculturalresearch
#NPGenMetMine2023 @eScienceCenter #workshop #Wageningen @wur @ms2lda #MolNetEnhancer #MS2Query #computational #metabolomics closing session 7! π
Final presentation today at @WUR NPLinker eScience workshop from @jjjvanderhooft about super interesting tools developed by his team!
Thanks for the invite @petras_daniel and it was great to team up with @ernst_Madeleine to explore and explain @ms2lda and #MolNetEnhancer! π Hope you liked it @Laim_Ziz! π #computational #metabolomics #massspectrometry #fragmentation #spectra #data #structure #annotation
I especially appreciated the #collaborative #spirit bringing together #genomics and #metabolomics #community! π #datascience #OpenScience @OSCWageningen #MolNetEnhancer @GNPS_UCSD @ms2lda Thanks to all co-authors! Special thanks: @marnixmedema, @mingxunwang and @Pdorrestein1! π
#computational #metabolomics and #proteomics to unravel #plant #microbiome #interactions! π Congrats π π π π to all involved!! π Also great use of #MolNetEnhancer π
I'm delighted to announce that my first research paper has been published in @NatureMicrobiol π₯³ Here we decipher the mechanisms behind growth promotion in plant-bacillus interaction π±
https://t.co/LyJ15ECbeG
@GNPS_UCSD #molecular #networking and @ms2lda #substructure #discovery and #MolNetEnhancer were used to tease apart the #chemical #language of the bacteria. #computational #metabolomics #CompMS. The preprint is out now! π
#molecular and #human #networking! π Exchanging experience & expertise between #Leiden & #Wageningen: @jjjvanderhooft explained recent advances in structural annotation and prioritization of metabolite features (and samples!) #MolNetEnhancer #MS2LDA #computational #metabolomics
impressive what tools have been developed by @jjjvanderhooft
We are also grateful to the many #omics #tools that support the envisioned framework: NPLinker, #antiSMASH, #BiG-SCAPE/SLICE, #MiBIG, #CORASON, #EvoMining, @GNPS_UCSD, @ms2lda, #MolNetEnhancer, @MassbankJ, and many others!
To mark this fantastic #milestone, will you share your favourite #enhanced molecular network visualization in this thread? π It could be one you made yourself or one you saw in literature. Thanks again to all tool developers on which shoulders #MolNetEnhancer stands! π
We are glad that the #community used #MolNetEnhancer to enrich many #molecular #network #visualizations with nice colours and additional edges representing #chemical #compound #class #metabolite and #substructure #annotations! π
Today, #MolNetEnhancer reached 100 citations in Google Scholar! π We are proud of @ernst_Madeleine who did an excellent job in combining the outputs of #metabolome #mining and #annotation #computational #metabolomics #tools, with help of the @GNPS_UCSD and @ms2lda teams! π
It is great to see many of the papers being used by the #metabolomics #community! π Containing #CFM-ID, #MetaboAnalystR, #MolNetEnhancer, #notame, #ViMMS, and more!
#microbiome #massspectrometry #metabolomics #approaches reviewed by @AneBauermeister @helenamrusso2 @alan_jarmusch @Pdorrestein1 and coworkers! Congratulations π π π π! And great to see @ms2lda and #MolNetEnhancer included! π
So proud of @AneBauermeister and @helenamrusso2 that tackled this review. It serves at a starting point/introduction to untargeted mass spectrometry analysis:tools in microbiome science. Many opportunities that remain in developing new or adapting existing tools from other fields
Great work and very nice to see how #metabolome #mining #metabolomics strategies based on @GNPS_UCSD @ms2lda #MolNetEnhancer are enhancing #urine #analyses! π Looking forward to seeing more annotated urine #substructures in #MotifDB!
This is one of the first papers that benchmarked molecular networking and really tested how much we can learn with it. @GNPS_UCSD. It's a great read. The authors did a wonderful job. https://t.co/Tr2oBeR2Sb
@Digging_Plants @JAgFoodChem Great! π Did you try to combine the networking analysis with substructure discovery using @ms2lda? For example through #MolNetEnhancer? This may lead to additional annotations of analogues.... π π
https://t.co/y2vPBspnT6 just got a little easier to navigate thanks to @joe__wandy! π Have a look around and give the #substructure #discovery a try! The connection with @GNPS_UCSD makes it possible to do combined analysis with molecular networking using #MolNetEnhancer! π
@PSUmetabolomics @Pdorrestein1 @GNPS_UCSD Also, increased options to classify #metabolites in untargeted #metabolomics approaches with #Canopus and #MolNetEnhancer will help to do initial screening and then select relevant classes and protocols to do follow-up investigations!
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