Demo Data from EDBT 2026 / reviewers in the wild / expert
Navratan Bagwan
dblp:241/2198
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-3958-6382ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
proteomics |
0.4 | 1 | 2019 | SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments · Bioinform. 2019 |
Bioinformatics and computational biology › proteomics
quantitative proteomics |
0.4 | 1 | 2019 | SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
weighted spectrum-peptide-protein statistical model · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experimentsabstractSUMMARY: Mass spectrometry-based proteomics has had a formidable development in recent years, increasing the amount of data handled and the complexity of the statistical resources needed. Here we present SanXoT, an open-source, standalone software package for the statistical analysis of high-throughput, quantitative proteomics experiments. SanXoT is based on our previously developed weighted spectrum, peptide and protein statistical model and has been specifically designed to be modular, scalable and user-configurable. SanXoT allows limitless workflows that adapt to most experimental setups, including quantitative protein analysis in multiple experiments, systems biology, quantification of post-translational modifications and comparison and merging of experimental data from technical or biological replicates. AVAILABILITY AND IMPLEMENTATION: Download links for the SanXoT Software Package, source code and documentation are available at https://wikis.cnic.es/proteomica/index.php/SSP. CONTACT: [email protected] or [email protected]. SUPPLEMENTARY INFORMATION: Supplementary information is available at Bioinformatics online. Marco Trevisan-Herraz, Navratan Bagwan, Fernando García-Marqués, Inmaculada Jorge, Iakes Ezkurdia, Elena Bonzon-Kulichenko, Jesús Vázquez |
Bioinform. | 2 |