DO-MS is now online at @JProteomeRes https://t.co/RfjJHYDvo2 This was a great team effort by @GrayHuffman, @atchen_ , @harrisonspecht Try it and let us know what you think. https://t.co/YiuKX2rHKv
DO-MS: Data-Driven Optimization of Mass Spectrometry Methods.
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Jan 2019 – Sep 2021Where it's discussed
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X / Twitter62 posts
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What people are saying
Overall, the discussions reveal strong agreement and interest, with many posts praising DO-MS for its diagnostic capabilities and practical uses, such as identifying bottlenecks and optimizing sample prep, evidenced by phrases like 'diagnose problems' and 'great overview,' which reflect deep engagement and appreciation of its impact on proteomics research.
Most discussions express strong support or recognition of the publication's importance, especially with praise for the software platform and its applications.
The majority of posts show high interest, discussing specific tools like DO-MS, and the potential for diagnostics and optimization in mass spectrometry.
Posts frequently reference detailed features of DO-MS, share guidelines, and suggest real-world applications, indicating active engagement.
The discussions highlight the significant influence of the publication and its tools on current research practices and community standards.
Abstract in brief
- DOMS is a software platform designed to diagnose and optimize mass spectrometry methods, specifically in ultra-sensitive liquid chromatography and tandem mass spectrometry like single-cell proteomics.
- It helps identify problems in the complex links between different stages of the analysis process and suggests improvements, leading to better data quality.
- By using DOMS to optimize parameters such as ion sampling at peak apexes, researchers achieved a 370% increase in ion efficiency for MS2 analysis, making the process more effective.]
Top posts
Most liked on X and BlueskyCongratulation to @harrisonspecht for being selected a rising start by @JProteomeRes https://t.co/iVnJZFazgg Well deserved Harrison! Check out some of his @JProteomeRes papers: https://t.co/LKOq5CA3rP https://t.co/RfjJHYV6fA https://t.co/peylTwJdyY
Another benchmarking study of the isobaric carrier in @naturemethods https://t.co/fYFGviN3Ch. The main conclusions align with previously discussed & demonstrated effects https://t.co/LKOq5CisAh https://t.co/RfjJHYDvo2 https://t.co/K78qaokhUY
DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/gPEamna2EB
If you would like to use DO-MS https://t.co/RfjJHYV6fA, check out this guide by @atchen_: https://t.co/XfzdolJl1i https://t.co/mYfnjjL574
The basics essential to know before starting research. They are simple & very important! More important than the more complex science that will get mixed up and misrepresented if we don't know and follow these basic guidelines! https://t.co/Ax2mt2oDnK https://t.co/RfjJHYDvo2 https://t.co/3vl6LkrcAr
All mentions
Data Analysis Techniques for Mass Spectrometry Proteomics
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Advancements in Single-Cell Proteomics and Benchmark Standards
In this presentation, Nikolai Slavov discusses miniaturizing and automating sample preparation for single-cell proteomics. Emphasizing key challenges and solutions, he presents single-cell protein measurements and…
Advancements in Single-Cell Proteomics Using SCoPE2 Technology
This presentation by Nikolai Slavov introduces SCoPE2, a novel technology that enhances single-cell proteomics analysis. It focuses on quantifying over 2000 proteins in individual monocytes and macrophages, highlighting…
Advances in Single-Cell Proteomics Sample Preparation for Mass Spectrometry
Presentation by Ed Emmott discussing the SCoPE2 pipeline for processing single-cell samples, emphasizing automation and high throughput, essential for accurate proteomics analysis in small samples.
Optimizing Single-Cell Proteomics with LC-MS/MS Techniques
Gray Huffman discusses experimental and computational methods for optimizing single-cell mass spec analysis, focusing on setting optimal parameters for improved sensitivity and accuracy in proteomics research.
@VDBiology As you know, we use DIA & DIA-NN and find them very useful, though I still have a response to your last question: I would like DIA-NN to output features for DO-MS (https://t.co/RfjJHYV6fA) that help us easily diagnose and optimize sample prep and MS analysis.
@JohnRYatesIII Indeed, many of the invitations are from journals that I would not submit to, but some are from appropriate journals to which I would submit the paper. For example, I was invited to submit this paper https://t.co/RfjJHYDvo2 to Bioinformatics, which would have been a good venue.
RT @slavov_n: Congratulation to @harrisonspecht for being selected a rising start by @JProteomeRes https://t.co/iVnJZFazgg Well deserved H…
RT @slavov_n: Congratulation to @harrisonspecht for being selected a rising start by @JProteomeRes https://t.co/iVnJZFazgg Well deserved H…
RT @slavov_n: Congratulation to @harrisonspecht for being selected a rising start by @JProteomeRes https://t.co/iVnJZFazgg Well deserved H…
RT @slavov_n: Congratulation to @harrisonspecht for being selected a rising start by @JProteomeRes https://t.co/iVnJZFazgg Well deserved H…
Congratulation to @harrisonspecht for being selected a rising start by @JProteomeRes https://t.co/iVnJZFazgg Well deserved Harrison! Check out some of his @JProteomeRes papers: https://t.co/LKOq5CA3rP https://t.co/RfjJHYV6fA https://t.co/peylTwJdyY
RT @slavov_n: Another benchmarking study of the isobaric carrier in @naturemethods https://t.co/fYFGviN3Ch. The main conclusions align wi…
Another benchmarking study of the isobaric carrier in @naturemethods https://t.co/fYFGviN3Ch. The main conclusions align with previously discussed & demonstrated effects https://t.co/LKOq5CisAh https://t.co/RfjJHYDvo2 https://t.co/K78qaokhUY
RT @slavov_n: The basics essential to know before starting research. They are simple & very important! More important than the more comple…
The basics essential to know before starting research. They are simple & very important! More important than the more complex science that will get mixed up and misrepresented if we don't know and follow these basic guidelines! https://t.co/Ax2mt2oDnK https://t.co/RfjJHYDvo2 https://t.co/3vl6LkrcAr
RT @slavov_n: @CMichaelRose @slavovLab @harrisonspecht @SCP_meeting This is exactly the effect that we described previously https://t.co/Rf…
@CMichaelRose @slavovLab @harrisonspecht @SCP_meeting This is exactly the effect that we described previously https://t.co/RfjJHYV6fA https://t.co/ILK0E1OvxE
Guidelines: 1. The size of the isobaric carrier should reflect the project priorities. 2. Evaluate whether the isobaric carrier affects peptide sampling, e.g., by using DO-MS https://t.co/H6YHASYKhZ & https://t.co/wBMtxNbqYD
@ChasingMicrobes @astacus I think it depends on the case. I would certainly look at the search engine output, and run it through our usual pipelines, such as DO-MS https://t.co/RfjJHYDvo2 This takes only a few minutes and gives a great overview of the data. Can be more informative than reading the paper.
@BiswapriyaMisra @kabalak @dtabb73 I agree with @dtabb73 -- QC & precise diagnosis of bottlenecks is a big part of the solution. We do it with DO-MS https://t.co/RfjJHYDvo2 Another part is using robust options, e.g., manual loading on 10 um ID nLC may afford high peak performance but not high average performance.
RT @slavovLab: @maxquant Thanks to @maxquant, DO-MS https://t.co/RfjJHYDvo2 makes it possible to specifically diagnose problems typically…
@maxquant Thanks to @maxquant, DO-MS https://t.co/RfjJHYDvo2 makes it possible to specifically diagnose problems typically manifested by nonspecific symptoms. https://t.co/grDDTt44W1
RT @kermitmurray: [ASAP] DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/sxsfd8J5pu
[ASAP] DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/sxsfd8J5pu
RT @slavovLab: If you would like to use DO-MS https://t.co/RfjJHYV6fA, check out this guide by @atchen_: https://t.co/XfzdolJl1i https://t.…
RT @slavovLab: If you would like to use DO-MS https://t.co/RfjJHYV6fA, check out this guide by @atchen_: https://t.co/XfzdolJl1i https://t.…
RT @slavovLab: If you would like to use DO-MS https://t.co/RfjJHYV6fA, check out this guide by @atchen_: https://t.co/XfzdolJl1i https://t.…
DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | https://t.co/YvYHxOinyI #proteomics https://t.co/El4L2If2Eo
"[ASAP] DO-MS: Data-Driven Optimization of Mass Spectrometry Methods" https://t.co/josMfuhA9J #proteomics
[ASAP] DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/Ze5PO9uxW3
RT @slavovLab: If you would like to use DO-MS https://t.co/RfjJHYV6fA, check out this guide by @atchen_: https://t.co/XfzdolJl1i https://t.…
DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | Journal of Proteome Research https://t.co/XMQoZn1dcq
RT @slavovLab: If you would like to use DO-MS https://t.co/RfjJHYV6fA, check out this guide by @atchen_: https://t.co/XfzdolJl1i https://t.…
If you would like to use DO-MS https://t.co/RfjJHYV6fA, check out this guide by @atchen_: https://t.co/XfzdolJl1i https://t.co/mYfnjjL574
RT @slavovLab: DO-MS is now online at @JProteomeRes https://t.co/RfjJHYDvo2 This was a great team effort by @GrayHuffman, @atchen_ , @harri…
DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | https://t.co/YvYHxOinyI #proteomics @slavovLab https://t.co/rJJPxZojBP
RT @realBioMassSpec: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/y6UuEuuqcF
RT @slavovLab: DO-MS is now online at @JProteomeRes https://t.co/RfjJHYDvo2 This was a great team effort by @GrayHuffman, @atchen_ , @harri…
RT @realBioMassSpec: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/y6UuEuuqcF
RT @slavovLab: DO-MS is now online at @JProteomeRes https://t.co/RfjJHYDvo2 This was a great team effort by @GrayHuffman, @atchen_ , @harri…
RT @slavovLab: DO-MS is now online at @JProteomeRes https://t.co/RfjJHYDvo2 This was a great team effort by @GrayHuffman, @atchen_ , @harri…
DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/y6UuEuuqcF
RT @slavovLab: DO-MS is now online at @JProteomeRes https://t.co/RfjJHYDvo2 This was a great team effort by @GrayHuffman, @atchen_ , @harri…
RT @slavovLab: DO-MS is now online at @JProteomeRes https://t.co/RfjJHYDvo2 This was a great team effort by @GrayHuffman, @atchen_ , @harri…
DO-MS is now online at @JProteomeRes https://t.co/RfjJHYDvo2 This was a great team effort by @GrayHuffman, @atchen_ , @harrisonspecht Try it and let us know what you think. https://t.co/YiuKX2rHKv
RT @PastelBio: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | https://t.co/rz3Qez9EaO #proteomics @slavovLab https://t.co/9…
RT @PastelBio: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | https://t.co/rz3Qez9EaO #proteomics @slavovLab https://t.co/9…
RT @PastelBio: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | https://t.co/rz3Qez9EaO #proteomics @slavovLab https://t.co/9…
DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | https://t.co/rz3Qez9EaO #proteomics @slavovLab https://t.co/9uKggGAU6d
RT @PastelBio: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | https://t.co/rz3Qez9EaO #proteomics @slavovLab https://t.co/q…
RT @ProtifiLlc: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/gPEamna2EB
RT @ProtifiLlc: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/gPEamna2EB
RT @ProtifiLlc: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/gPEamna2EB
RT @ProtifiLlc: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/gPEamna2EB
RT @ProtifiLlc: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/gPEamna2EB
RT @ProtifiLlc: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/gPEamna2EB
DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/gPEamna2EB
RT @biorxiv_bioinfo: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/cJ8FJ5KHln #biorxiv_bioinfo
RT @biorxiv_bioinfo: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/cJ8FJ5KHln #biorxiv_bioinfo
DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | https://t.co/rz3Qez9EaO #proteomics @slavovLab https://t.co/quDuceaIVh
#BioIT #BioInformatics DO-MS: Data-Driven Optimization of Mass Spectrometry Methods [NEW RESULTS] https://t.co/23pB3x3lGD
DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/gipW1JSb0y
DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/Mhb13vdvzq
#bioRxiv DO-MS: Data-Driven Optimization of Mass Spectrometry Methods #bioinfo https://t.co/QTEQUcIfYV
DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/cJ8FJ5KHln #biorxiv_bioinfo
DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/SmyE5kgN4a #bioRxiv