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AnGeLi: A Tool for the Analysis of Gene Lists from Fission Yeast

Overview of attention for article published in Frontiers in Genetics, November 2015
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Title
AnGeLi: A Tool for the Analysis of Gene Lists from Fission Yeast
Published in
Frontiers in Genetics, November 2015
DOI 10.3389/fgene.2015.00330
Pubmed ID
Authors

Danny A. Bitton, Falk Schubert, Shoumit Dey, Michal Okoniewski, Graeme C. Smith, Sanjay Khadayate, Vera Pancaldi, Valerie Wood, Jürg Bähler

Abstract

Genome-wide assays and screens typically result in large lists of genes or proteins. Enrichments of functional or other biological properties within such lists can provide valuable insights and testable hypotheses. To systematically detect these enrichments can be challenging and time-consuming, because relevant data to compare against query gene lists are spread over many different sources. We have developed AnGeLi (Analysis of Gene Lists), an intuitive, integrated web-tool for comprehensive and customized interrogation of gene lists from the fission yeast, Schizosaccharomyces pombe. AnGeLi searches for significant enrichments among multiple qualitative and quantitative information sources, including gene and phenotype ontologies, genetic and protein interactions, numerous features of genes, transcripts, translation, and proteins such as copy numbers, chromosomal positions, genetic diversity, RNA polymerase II and ribosome occupancy, localization, conservation, half-lives, domains, and molecular weight among others, as well as diverse sets of genes that are co-regulated or lead to the same phenotypes when mutated. AnGeLi uses robust statistics which can be tailored to specific needs. It also provides the option to upload user-defined gene sets to compare against the query list. Through an integrated data submission form, AnGeLi encourages the community to contribute additional curated gene lists to further increase the usefulness of this resource and to get the most from the ever increasing large-scale experiments. AnGeLi offers a rigorous yet flexible statistical analysis platform for rich insights into functional enrichments and biological context for query gene lists, thus providing a powerful exploratory tool through which S. pombe researchers can uncover fresh perspectives and unexpected connections from genomic data. AnGeLi is freely available at: www.bahlerlab.info/AnGeLi.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 26%
Student > Ph. D. Student 10 19%
Student > Bachelor 8 15%
Student > Doctoral Student 5 9%
Student > Master 4 7%
Other 4 7%
Unknown 9 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 43%
Agricultural and Biological Sciences 17 31%
Arts and Humanities 2 4%
Social Sciences 1 2%
Engineering 1 2%
Other 0 0%
Unknown 10 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 December 2015.
All research outputs
#14,558,031
of 23,314,015 outputs
Outputs from Frontiers in Genetics
#4,053
of 12,333 outputs
Outputs of similar age
#132,122
of 253,499 outputs
Outputs of similar age from Frontiers in Genetics
#30
of 49 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,333 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 63% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 253,499 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.