Demo Data from SIGIR 2026 / reviewers in the wild / expert
Anika Jöcker
dblp:57/2155
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › proteomics
protein microarray data analysis |
0.1 | 1 | 2010 | QuantProReloaded: quantitative analysis of microspot immunoassays · Bioinform. 2010 |
Bioinformatics and computational biology
proteomics |
0.1 | 1 | 2010 | QuantProReloaded: quantitative analysis of microspot immunoassays · Bioinform. 2010 |
Bioinformatics and computational biology › genome annotation
automatic annotation |
0.1 | 1 | 2008 | Protein function prediction and annotation in an integrated environment powered by web services (AFAWE) · Bioinform. 2008 |
Bioinformatics and computational biology
protein function prediction |
0.1 | 1 | 2008 | Protein function prediction and annotation in an integrated environment powered by web services (AFAWE) · Bioinform. 2008 |
Methods — techniques the papers use, named apart from their topics
quantitative analysis · 0.1data visualization · 0.1workflow integration · 0.1web services · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | QuantProReloaded: quantitative analysis of microspot immunoassaysabstractUNLABELLED: Protein microarrays are well-established as sensitive tools for proteomics. Particularly, the microspot immunoassay (MIA) platform enables a quantitative analysis of (phospho-) proteins in complex solutions (e.g. cell lysates or blood plasma) and with low consumption of samples and reagents. Despite numerous biological and clinical applications of MIAs there is currently no user-friendly open source data analysis software available with versatile options for data analysis and data visualization. Here, we introduce the open source software QuantProReloaded that is specifically designed for the analysis of data from MIA experiments. AVAILABILITY AND IMPLEMENTATION: QuantProReloaded is written in R and Java and is open for download under the BSB license at http://code.google.com/p/quantproreloaded/. Anika Jöcker, Johanna Sonntag, Frauke Henjes, Frank Götschel, Achim Tresch, Tim Beißbarth, Stefan Wiemann, Ulrike Korf |
Bioinform. | 1 |
| 2008 | Protein function prediction and annotation in an integrated environment powered by web services (AFAWE)abstractAbstract Summary: Many sequenced genes are mainly annotated through automatic transfer of annotation from similar sequences. Manual comparison of results or intermediate results from different tools can help avoid wrong annotations and give hints to the function of a gene even if none of the automated tools could return any result. AFAWE simplifies the task of manual functional annotation by running different tools and workflows for automatic function prediction and displaying the results in a way that facilitates comparison. Because all programs are executed as web services, AFAWE is easily extensible and can directly query primary databases, thereby always using the most up-to-date data sources. Visual filters help to distinguish trustworthy results from non-significant results. Furthermore, an interface to add detailed manual annotation to each gene is provided, which can be displayed to other users. Availability: AFAWE is available at http://bioinfo.mpiz-koeln.mpg.de/afawe/ Contact: [email protected] Supplementary information: SIFTER pipeline (S1), AFAWE tutorial (S2). Anika Jöcker, Fabian Hoffmann, Andreas Groscurth, Heiko Schoof |
Bioinform. | 1 |