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Science News<p><a href="https://idw-online.social/tags/lysosomes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>lysosomes</span></a>, <a href="https://idw-online.social/tags/massspectrometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>massspectrometry</span></a><br><a href="https://nachrichten.idw-online.de/2025/07/10/lysosome-expert-receives-heisenberg-professorship-ua-ruhr-appointment-dominic-winter" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">nachrichten.idw-online.de/2025</span><span class="invisible">/07/10/lysosome-expert-receives-heisenberg-professorship-ua-ruhr-appointment-dominic-winter</span></a></p>
nf-core<p>Pipeline release! nf-core/mhcquant v3.0.0 - MHCquant 3.0.0 - Monrepos!</p><p>Please see the changelog: <a href="https://github.com/nf-core/mhcquant/releases/tag/3.0.0" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/nf-core/mhcquant/re</span><span class="invisible">leases/tag/3.0.0</span></a></p><p><a href="https://mstdn.science/tags/dda" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dda</span></a> <a href="https://mstdn.science/tags/immunopeptidomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>immunopeptidomics</span></a> <a href="https://mstdn.science/tags/massspectrometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>massspectrometry</span></a> <a href="https://mstdn.science/tags/mhc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mhc</span></a> <a href="https://mstdn.science/tags/openms" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>openms</span></a> <a href="https://mstdn.science/tags/peptides" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>peptides</span></a> <a href="https://mstdn.science/tags/nfcore" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nfcore</span></a> <a href="https://mstdn.science/tags/openscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>openscience</span></a> <a href="https://mstdn.science/tags/nextflow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nextflow</span></a> <a href="https://mstdn.science/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bioinformatics</span></a></p>
Johannes Rainer<p>Thrilled to share that our manuscript "SpectriPy: Enhancing Cross-Language Mass Spectrometry Data Analysis with R and Python" was published in <span class="h-card" translate="no"><a href="https://fosstodon.org/@joss" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>joss</span></a></span> 🥳 </p><p>This was a great community effort! Big thanks 🙌 to all contributors including the <span class="h-card" translate="no"><a href="https://mstdn.science/@EuBIC_MS" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>EuBIC_MS</span></a></span> hackathon participants!</p><p>Also, thanks to the editor <span class="h-card" translate="no"><a href="https://fediscience.org/@danielskatz" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>danielskatz</span></a></span> for handling the manuscript! </p><p>And of course thanks to our great reviewers <span class="h-card" translate="no"><a href="https://mastodon.online/@adafede" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>adafede</span></a></span> <span class="h-card" translate="no"><a href="https://genomic.social/@AnthonyBarente" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>AnthonyBarente</span></a></span> for their suggestions and discussion!</p><p><a href="https://fediscience.org/tags/TeamMassSpec" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TeamMassSpec</span></a> <a href="https://fediscience.org/tags/MassSpectrometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MassSpectrometry</span></a> <a href="https://fediscience.org/tags/Metabolomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Metabolomics</span></a> </p><p>:rstats: + :python: 👉 <a href="https://doi.org/10.21105/joss.08070" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.21105/joss.08070</span><span class="invisible"></span></a></p>
Technische Universität München<p>Researchers at our university and Imperial College London have developed a new method for <a href="https://wisskomm.social/tags/PathogenDetection" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PathogenDetection</span></a>. Using <a href="https://wisskomm.social/tags/MassSpectrometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MassSpectrometry</span></a>, bacteria can now be identified within minutes instead of days, improving diagnosis and treatment: <a href="http://go.tum.de/920285" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="">go.tum.de/920285</span><span class="invisible"></span></a> </p><p>📷R. Reich</p>
Laurent Gatto<p>Hello, here's my fediverse re- <a href="https://fediscience.org/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>introduction</span></a> since I moved to <a href="https://fediscience.org/tags/fediscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fediscience</span></a> </p><p>I'm a computational biologist/bioinformatician, professor at UCLouvain in Brussels. I work with various types of omics data, with a special interest in <a href="https://fediscience.org/tags/MassSpectrometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MassSpectrometry</span></a> and <a href="https://fediscience.org/tags/proteomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>proteomics</span></a>. I (co-)develop and maintain several <a href="https://fediscience.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> and <a href="https://fediscience.org/tags/Bioconductor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bioconductor</span></a> packages. In addition to R, I use <a href="https://fediscience.org/tags/emacs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>emacs</span></a> and <a href="https://fediscience.org/tags/orgmode" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>orgmode</span></a> quite a bit.</p><p>Thanks for reading!</p>
MSAID<p>Join us for our upcoming webinar, where we will introduce the latest features of the MSAID Platform, a web-based, fully automated solution for <a href="https://mstdn.science/tags/proteomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>proteomics</span></a> data processing, storage, and analysis—powered by CHIMERYS™ 4.</p><p>In this session, we will showcase:</p><p>✅ The latest enhancements for seamless and scalable workflows<br>✅ Cutting-edge automation capabilities for large-scale proteomics research<br>✅ Insights into our latest publication</p><p>🔗 Register here: <a href="https://events.teams.microsoft.com/event/26ff8bf9-ec0a-47ed-b585-bc18a346154e@520485ba-f78d-4987-b0e8-f9389821a58b" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">events.teams.microsoft.com/eve</span><span class="invisible">nt/26ff8bf9-ec0a-47ed-b585-bc18a346154e@520485ba-f78d-4987-b0e8-f9389821a58b</span></a></p><p><a href="https://mstdn.science/tags/MassSpectrometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MassSpectrometry</span></a></p>
Dr. Samuel Wein<p>I've been privileged to be able to bring together a group of key opinion leaders in the fields of <a href="https://fediscience.org/tags/ComputationalMassSpectrometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalMassSpectrometry</span></a>, <a href="https://fediscience.org/tags/Proteomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Proteomics</span></a>, and <a href="https://fediscience.org/tags/Metabolomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Metabolomics</span></a> to discuss future data formats for storing data from <a href="https://fediscience.org/tags/MassSpectrometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MassSpectrometry</span></a> experiments. After a lot of deliberation (and a lot of help from Tim Van Den Bossche drafting) we are proud to announce the initial Whitepaper describing goals for the next generation format. This is available on Zenodo at <a href="https://lnkd.in/edhWJ7d4" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">lnkd.in/edhWJ7d4</span><span class="invisible"></span></a></p><p>Now it's your turn to get involved. We are looking for comment, reviews and thoughts on what we've put together so far. We are looking to use <a href="https://fediscience.org/tags/PreReview" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PreReview</span></a> as a platform to do this. So, if you work with mass spec data, or know anyone who does, please read the whitepaper, comment on it at<br><a href="https://lnkd.in/efNqu7Z2" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">lnkd.in/efNqu7Z2</span><span class="invisible"></span></a> and share with your mass spec loving friends. We are hoping to have a first round of discussions based on feedback at the HUPO Proteomics Standards Initiative meeting at the end of March, and publish an updated Whitepaper for more comments from there.</p>
Johannes Rainer<p>Our proposed hackathon to improve integration of <a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> :rstats: and <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> :python: packages for <a href="https://fosstodon.org/tags/MassSpectrometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MassSpectrometry</span></a> was selected for the <a href="https://fosstodon.org/tags/EuBIC2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EuBIC2025</span></a> <span class="h-card" translate="no"><a href="https://mstdn.science/@EuBIC_MS" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>EuBIC_MS</span></a></span> developer meeting! 🥳 </p><p>Looking forward to expand and improve our SpectryPy package <a href="https://bit.ly/4hQfhj1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/4hQfhj1</span><span class="invisible"></span></a></p><p><a href="https://fosstodon.org/tags/TeamMassSpec" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TeamMassSpec</span></a> <a href="https://fosstodon.org/tags/Metabolomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Metabolomics</span></a> <a href="https://fosstodon.org/tags/RforMassSpectrometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RforMassSpectrometry</span></a></p>
Matrix Science Ltd<p>Mascot Newsletter, November 2024:</p><p>Predicted retention times in Mascot Server 3.0.</p><p>N-terminal methylation of Physcomitrella organellar proteins.</p><p>Mascot Server 3.0 compatibility with third-party applications.</p><p><a href="https://www.matrixscience.com/nl/202411/newsletter.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">matrixscience.com/nl/202411/ne</span><span class="invisible">wsletter.html</span></a> <br><a href="https://mastodon.social/tags/proteomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>proteomics</span></a> <a href="https://mastodon.social/tags/MassSpec" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MassSpec</span></a> <a href="https://mastodon.social/tags/MassSpectrometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MassSpectrometry</span></a></p>
Matrix Science Ltd<p>Reliable scoring of peptide matches is vitally important when they are used as input to machine learning. Mascot probabilistic scoring is the ideal foundation, now documented in greater detail than ever before. <a href="https://mastodon.social/tags/proteomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>proteomics</span></a> <a href="https://mastodon.social/tags/MassSpec" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MassSpec</span></a> <a href="https://mastodon.social/tags/MassSpectrometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MassSpectrometry</span></a> </p><p><a href="https://www.matrixscience.com/help/scoring_help.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">matrixscience.com/help/scoring</span><span class="invisible">_help.html</span></a></p>

Looking for opinions on which 193 nm excimer laser ablation unit to get to couple with our Element 2 for high-res analysis trace and minor elements in carbonates (esp. speleothems). Trying to choose between RESOlution or ESL. If any geochemists/LAICPMS afficonados on here have OPINIONS on either of these (good or bad), please drop me a line!