Demo Data from EDBT 2026 / reviewers in the wild / expert
Daniel Broudy
dblp:150/1447
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
proteomics |
0.4 | 2 | 2014 | MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments · Bioinform. 2014 A framework for installable external tools in Skyline · Bioinform. 2014 |
Bioinformatics and computational biology › proteomics
mass spectrometry data analysis |
0.2 | 2 | 2014 | MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments · Bioinform. 2014 A framework for installable external tools in Skyline · Bioinform. 2014 |
Bioinformatics and computational biology › proteomics
quantitative proteomics |
0.2 | 1 | 2014 | MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments · Bioinform. 2014 |
Methods — techniques the papers use, named apart from their topics
linear mixed model · 0.2external tools framework · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | A framework for installable external tools in SkylineabstractUNLABELLED: Skyline is a Windows client application for targeted proteomics method creation and quantitative data analysis. The Skyline document model contains extensive mass spectrometry data from targeted proteomics experiments performed using selected reaction monitoring, parallel reaction monitoring and data-independent and data-dependent acquisition methods. Researchers have developed software tools that perform statistical analysis of the experimental data contained within Skyline documents. The new external tools framework allows researchers to integrate their tools into Skyline without modifying the Skyline codebase. Installed tools provide point-and-click access to downstream statistical analysis of data processed in Skyline. The framework also specifies a uniform interface to format tools for installation into Skyline. Tool developers can now easily share their tools with proteomics researchers using Skyline. AVAILABILITY AND IMPLEMENTATION: Skyline is available as a single-click self-updating web installation at http://skyline.maccosslab.org. This Web site also provides access to installable external tools and documentation. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Daniel Broudy, Trevor Killeen, Meena Choi, Nicholas Shulman, Deepak R. Mani, Susan E. Abbatiello, Deepak Mani, Rushdy Ahmad, Alexandria K. Sahu, Birgit Schilling, Kaipo Tamura, Yuval Boss, Vagisha Sharma, Bradford W. Gibson, Steven A. Carr, Olga Vitek, Michael J. MacCoss, Brendan MacLean |
Bioinform. | 1 |
| 2014 | MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experimentsabstractUNLABELLED: MSstats is an R package for statistical relative quantification of proteins and peptides in mass spectrometry-based proteomics. Version 2.0 of MSstats supports label-free and label-based experimental workflows and data-dependent, targeted and data-independent spectral acquisition. It takes as input identified and quantified spectral peaks, and outputs a list of differentially abundant peptides or proteins, or summaries of peptide or protein relative abundance. MSstats relies on a flexible family of linear mixed models. AVAILABILITY AND IMPLEMENTATION: The code, the documentation and example datasets are available open-source at www.msstats.org under the Artistic-2.0 license. The package can be downloaded from www.msstats.org or from Bioconductor www.bioconductor.org and used in an R command line workflow. The package can also be accessed as an external tool in Skyline (Broudy et al., 2014) and used via graphical user interface. Meena Choi, Ching-Yun Chang, Timothy Clough, Daniel Broudy, Trevor Killeen, Brendan MacLean, Olga Vitek |
Bioinform. | 4 |