Evidence map›Paper›PMID 18819938›Full record

ArticleBioinformatics (Oxford, England)2008

Genome annotation in the presence of insertional RNA editing.

Christina Beargie, Tsunglin Liu, Mark Corriveau, Ha Youn Lee, Jonatha Gott, Ralf Bundschuh

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

6 authors.

Christina BeargieCOSI, 333 West Broad Street, Columbus, OH 43215, USA.
Tsunglin Liu
Mark Corriveau
Ha Youn Lee
Jonatha Gott
Ralf Bundschuh

Funding

TRANSCRIPTION AND INSERTIONAL RNA EDITING IN PHYSARUMR01GM054663 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI GOTT, JONATHA MARY · 1998 to 2006
$2.2M
TRANSCRIPTION AND INSERTIONAL RNA EDITING IN PHYSARUMR55GM054663 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI GOTT, JONATHA MARY · 1996 to 1996
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NIAID NIH HHS N01-AI-50020NIGMS NIH HHS GM-54663
6 · The paper itself

Abstract

motivationInsertional RNA editing renders gene prediction very difficult compared to organisms without such RNA editing. A case in point is the mitochondrial genome of Physarum polycephalum in which only about one-third of the number of genes that are to be expected given its length are annotated. Thus, gene prediction methods that explicitly take into account insertional editing are needed for successful annotation of such genomes.

resultsWe annotate the mitochondrial genome of P.polycephalum using several different approaches for gene prediction in organisms with insertional RNA editing. We computationally validate our annotations by comparing the results from different methods against each other and as proof of concept experimentally validate two of the newly predicted genes. We more than double the number of annotated putative genes in this organism and find several intriguing candidate genes that are not expected in a mitochondrial genome. AVAILABILITY: The C source code of the programs described here are available upon request from the corresponding author.

Indexed as

AnimalsGenome, MitochondrialGenome, ProtozoanPhysarum polycephalumRNA Editing

Identifiers

PMID18819938
PMCPMC2579709

What OpenQuestion holds

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Registered trials

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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.