Evidence map›Paper›PMID 26635866›Full record

ArticleFrontiers in genetics2015

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

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

Abstract read
In one paragraph

Article in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

55 citing papers in PubMed.

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  9. RiboCop surveils pre-rRNA processing by Dicer in cellular quiescence.bioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Danny A BittonResearch Department of Genetics, Evolution and Environment - UCL Genetics Institute, University College London London, UK.
Falk SchubertResearch Department of Genetics, Evolution and Environment - UCL Genetics Institute, University College London London, UK.
Shoumit DeyResearch Department of Genetics, Evolution and Environment - UCL Genetics Institute, University College London London, UK.
Michal OkoniewskiScientific IT Services, ETH Zürich Zürich, Switzerland.
Graeme C SmithResearch Department of Genetics, Evolution and Environment - UCL Genetics Institute, University College London London, UK.
Sanjay KhadayateResearch Department of Genetics, Evolution and Environment - UCL Genetics Institute, University College London London, UK.
Vera PancaldiResearch Department of Genetics, Evolution and Environment - UCL Genetics Institute, University College London London, UK.
Valerie WoodCambridge Systems Biology and Department of Biochemistry, University of Cambridge Cambridge, UK.
Jürg BählerResearch Department of Genetics, Evolution and Environment - UCL Genetics Institute, University College London London, UK.

Funding

Wellcome Trust 095598
6 · The paper itself

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.

Indexed as

databasedata mininggene clustergenetic screenlarge-scale assayontologyPomBaseS. pombe

Identifiers

PMID26635866
PMCPMC4644808

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.