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Anika Jöcker

dblp:57/2155 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › proteomics
protein microarray data analysis
0.112010
QuantProReloaded: quantitative analysis of microspot immunoassays · Bioinform. 2010
Bioinformatics and computational biology
proteomics
0.112010
QuantProReloaded: quantitative analysis of microspot immunoassays · Bioinform. 2010
Bioinformatics and computational biology › genome annotation
automatic annotation
0.112008
Protein function prediction and annotation in an integrated environment powered by web services (AFAWE) · Bioinform. 2008
Bioinformatics and computational biology
protein function prediction
0.112008
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
YearPublicationVenuePosition
2010 QuantProReloaded: quantitative analysis of microspot immunoassays
abstract
UNLABELLED: 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)
abstract
Abstract 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