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Katharina Jenniches

dblp:43/8712 · DBLP profile ↗
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1ranked-venue papers
0as 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 · 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 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › biological database
gene expression database
0.112010
C-It: a knowledge database for tissue-enriched genes · Bioinform. 2010

Methods — techniques the papers use, named apart from their topics

DGSA · 0.1
YearPublicationVenuePosition
2010 C-It: a knowledge database for tissue-enriched genes
abstract
MOTIVATION: Due to the development of high-throughput technologies such as microarrays, it has become possible to determine genome-wide expression changes in a single experiment. Although much attention has been paid to identify differentially expressed genes, the functions of tens of thousands of genes in different species still remain unknown. RESULTS: C-It is a knowledge database that has its focus on 'uncharacterized genes'. C-It contains expression profiles of various tissues from human, mouse, rat, chicken and zebrafish. By applying our previously introduced algorithm DGSA (Database-Dependent Gene Selection and Analysis), it is possible to screen for uncharacterized, tissue-enriched genes in the species mentioned above. C-It is designed to include further expression studies, which might provide more comprehensive coverage of gene expression patterns and tissue-enriched splicing isoforms. We propose that C-It will be an excellent starting point to study uncharacterized genes. AVAILABILITY: C-It is freely available online without registration at http://C-It.mpi-bn.mpg.dehttp://C-It.mpi-bn.mpg.de.
Pascal Gellert, Katharina Jenniches, Thomas Braun, Shizuka Uchida
Bioinform.2