Bo Wen
@bo-wen.bsky.social
Reposted by Bo Wen
Congratulations to Mike MacCoss on receiving the Donald F. Hunt Distinguished Contribution in Proteomics Award from US HUPO!
us-hupo.org/Distinguishe...
us-hupo.org/Distinguishe...
US HUPO - Distinguished Contribution Award
us-hupo.org
November 12, 2025 at 5:12 PM
Congratulations to Mike MacCoss on receiving the Donald F. Hunt Distinguished Contribution in Proteomics Award from US HUPO!
us-hupo.org/Distinguishe...
us-hupo.org/Distinguishe...
Reposted by Bo Wen
Congratulations to Bill Noble on receiving the 2026 Gil Omenn Computational Proteomics Award from US HUPO!
us-hupo.org/Computationa...
us-hupo.org/Computationa...
US HUPO - Computational Proteomics Award
us-hupo.org
November 12, 2025 at 5:14 PM
Congratulations to Bill Noble on receiving the 2026 Gil Omenn Computational Proteomics Award from US HUPO!
us-hupo.org/Computationa...
us-hupo.org/Computationa...
Reposted by Bo Wen
Fantastic project led by @bo-wen.bsky.social. Excited to see the future uses of AI and transfer learning in proteomics. #massspec #proteomics
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Carafe enables high quality in silico spectral library generation for data-independent acquisition proteomics - Nature Communications
Accurate spectral libraries are essential for analyzing data-independent acquisition (DIA) proteomics data. Here, the authors present Carafe, which trains on DIA data to build experiment-specific spec...
www.nature.com
November 6, 2025 at 3:49 PM
Fantastic project led by @bo-wen.bsky.social. Excited to see the future uses of AI and transfer learning in proteomics. #massspec #proteomics
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Reposted by Bo Wen
DeepMVP is a deep learning framework to predict PTM sites and variant-induced alterations across 6 common PTMs.
www.nature.com/articles/s41...
www.nature.com/articles/s41...
DeepMVP: deep learning models trained on high-quality data accurately predict PTM sites and variant-induced alterations - Nature Methods
DeepMVP is a deep learning framework for predicting PTM sites and variant-induced alterations across six modification types, including phosphorylation, acetylation, methylation, sumoylation, ubiquitin...
www.nature.com
August 28, 2025 at 8:37 PM
DeepMVP is a deep learning framework to predict PTM sites and variant-induced alterations across 6 common PTMs.
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Reposted by Bo Wen
Cascadia from @wnoble.bsky.social is a mass spec-based de novo sequencing model that uses a transformer architecture to handle data-independent acquisition data and achieves substantially improved performance across a range of instruments and experimental protocols. www.nature.com/articles/s41...
July 7, 2025 at 10:31 PM
Cascadia from @wnoble.bsky.social is a mass spec-based de novo sequencing model that uses a transformer architecture to handle data-independent acquisition data and achieves substantially improved performance across a range of instruments and experimental protocols. www.nature.com/articles/s41...
Reposted by Bo Wen
(1/2) We have always validated FDR internally on several datasets. Bo Wen and colleagues discovered that FDR of DIA-NN 1.8.1 was anti-conservative on some (but not other) datasets - for some unknown reason. So we fixed it in 2.0 :) Now q-values are more accurate and fluctate less across datasets.
If you have read www.nature.com/articles/s41... and were concerned about your DIA FDR's with DIA-NN and Spectronaut, this is worth reading. It made me feel a lot better about the most recent versions github.com/Noble-Lab/FD... #proteomics @vadim-demichev.bsky.social @biognosys.bsky.social
Assessment of false discovery rate control in tandem mass spectrometry analysis using entrapment - Nature Methods
A theoretical foundation for entrapment methods is presented, along with a method that enables more accurate evaluation of false discovery rate (FDR) control in proteomics mass spectrometry analysis p...
www.nature.com
July 2, 2025 at 10:24 PM
(1/2) We have always validated FDR internally on several datasets. Bo Wen and colleagues discovered that FDR of DIA-NN 1.8.1 was anti-conservative on some (but not other) datasets - for some unknown reason. So we fixed it in 2.0 :) Now q-values are more accurate and fluctate less across datasets.
Reposted by Bo Wen
Error control in proteomics mass spectrometry analysis is hard. We came up with a way to evaluate error control. Upshot: for old-school DDA data, not so bad. For DIA data, no existing tool successfully controls the false discovery rate!
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Assessment of false discovery rate control in tandem mass spectrometry analysis using entrapment - Nature Methods
A theoretical foundation for entrapment methods is presented, along with a method that enables more accurate evaluation of false discovery rate (FDR) control in proteomics mass spectrometry analysis p...
www.nature.com
June 16, 2025 at 8:57 PM
Error control in proteomics mass spectrometry analysis is hard. We came up with a way to evaluate error control. Upshot: for old-school DDA data, not so bad. For DIA data, no existing tool successfully controls the false discovery rate!
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Reposted by Bo Wen
Excited to see this published! It is a good step in the process for people to assess their FDR control in proteomics experiments. Great work from @bo-wen.bsky.social and @urikeich.bsky.social in particular who drove this.
Assessing error control is fundamental in mass spectrometry-based proteomics. @bo-wen.bsky.social @maccoss.bsky.social @urikeich.bsky.social et al introduce a theoretical foundation for entrapment along with a method for more accurate evaluation of FDR control.
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Assessment of false discovery rate control in tandem mass spectrometry analysis using entrapment - Nature Methods
A theoretical foundation for entrapment methods is presented, along with a method that enables more accurate evaluation of false discovery rate (FDR) control in proteomics mass spectrometry analysis p...
www.nature.com
June 16, 2025 at 6:52 PM
Excited to see this published! It is a good step in the process for people to assess their FDR control in proteomics experiments. Great work from @bo-wen.bsky.social and @urikeich.bsky.social in particular who drove this.
Reposted by Bo Wen
Assessing error control is fundamental in mass spectrometry-based proteomics. @bo-wen.bsky.social @maccoss.bsky.social @urikeich.bsky.social et al introduce a theoretical foundation for entrapment along with a method for more accurate evaluation of FDR control.
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Assessment of false discovery rate control in tandem mass spectrometry analysis using entrapment - Nature Methods
A theoretical foundation for entrapment methods is presented, along with a method that enables more accurate evaluation of false discovery rate (FDR) control in proteomics mass spectrometry analysis p...
www.nature.com
June 16, 2025 at 4:46 PM
Assessing error control is fundamental in mass spectrometry-based proteomics. @bo-wen.bsky.social @maccoss.bsky.social @urikeich.bsky.social et al introduce a theoretical foundation for entrapment along with a method for more accurate evaluation of FDR control.
www.nature.com/articles/s41...
www.nature.com/articles/s41...