Evidence map›Paper›PMID 19942311›Full record

ReviewTrends in biotechnology2010

De novo prediction of structured RNAs from genomic sequences.

Jan Gorodkin, Ivo L Hofacker, Elfar Torarinsson, Zizhen Yao, Jakob H Havgaard, Walter L Ruzzo

Abstract readReview
In one paragraph

Review in Trends in biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 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.

Jan GorodkinSection for Genetics and Bioinformatics, IBHV and Center for Applied Bioinformatics, University of Copenhagen, Grønnegårdsvej 3, DK-1870 Frederiksberg C, Denmark. gorodkin@genome.ku.dk
Ivo L Hofacker
Elfar Torarinsson
Zizhen Yao
Jakob H Havgaard
Walter L Ruzzo

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI ALI SHOJAIE · 1995 to 2026
$42.5M
NIEHS NIH HHS P30 ES007033NIEHS NIH HHS P30ES07033
6 · The paper itself

Abstract

Growing recognition of the numerous, diverse and important roles played by non-coding RNA in all organisms motivates better elucidation of these cellular components. Comparative genomics is a powerful tool for this task and is arguably preferable to any high-throughput experimental technology currently available, because evolutionary conservation highlights functionally important regions. Conserved secondary structure, rather than primary sequence, is the hallmark of many functionally important RNAs, because compensatory substitutions in base-paired regions preserve structure. Unfortunately, such substitutions also obscure sequence identity and confound alignment algorithms, which complicates analysis greatly. This paper surveys recent computational advances in this difficult arena, which have enabled genome-scale prediction of cross-species conserved RNA elements. These predictions suggest that a wealth of these elements indeed exist.

Indexed as

Nucleic Acid ConformationBase SequenceComparative Genomic HybridizationComputational BiologyConserved SequenceEvolution, MolecularGenomeRNA, UntranslatedSequence Analysis, RNARNA, Untranslated

Identifiers

PMID19942311
PMCPMC4712260

What OpenQuestion holds

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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.