Evidence map›Paper›PMID 23276284›Full record

ArticleMobile DNA2013

NucBase, an easy to use read mapper for small RNAs.

Jeremy Dufourt, Pierre Pouchin, Pierre Peyret, Emilie Brasset, Chantal Vaury

Open access · goldAbstract read
In one paragraph

Article in Mobile DNA, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
5.5field-weighted citation impact, top 5% of its field
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

4 citing papers in PubMed, 32 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Jeremy Dufourt *Clermont Université, Université d'Auvergne, Laboratoire GReD, BP 38, F-63001 Clermont-Ferrand, France.
Pierre Pouchin *Clermont Université, Université d'Auvergne, Laboratoire GReD, BP 38, F-63001 Clermont-Ferrand, France.
Pierre PeyretEA4678, Université d'Auvergne, F-63001, Clermont-Ferrand, France.
Emilie BrassetClermont Université, Université d'Auvergne, Laboratoire GReD, BP 38, F-63001 Clermont-Ferrand, France.
Chantal VauryClermont Université, Université d'Auvergne, Laboratoire GReD, BP 38, F-63001 Clermont-Ferrand, France.
Université Clermont Auvergne · FRCentre Hospitalier Universitaire de Clermont-Ferrand · FRCentre National de la Recherche Scientifique · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelled

backgroundHigh-throughput deep-sequencing technology has generated an unprecedented number of expressed sequence reads that offer the opportunity to get insight into biological systems. Several databases report the sequence of small regulatory RNAs which play a prominent role in the control of transposable elements (TE). However, the huge amount of data reported in these databases remains mostly unexplored because the available tools are hard for biologists to use.

resultsHere we report NucBase, a new program designed to make an exhaustive search for sequence matches and to align short sequence reads from large nucleic acid databases to genomes or input sequences. NucBase includes a graphical interface which allows biologists to align sequences with ease and immediately visualize matched sequences, their number and their genomic position. NucBase identifies nucleic motives with strict identity to input sequences, and it capably finds candidates with one or several mismatches. It offers the opportunity to identify "core sequences" comprised of a chosen number of consecutive matching nucleotides. This software can be run locally on any Windows, Linux or Mac OS computer with 32-bit architecture compatibility.

conclusionsSince this software is easy to use and can detect reads that were undetected by other software, we believe that it will be useful for biologists involved in the field of TE silencing by small non-coding RNAs. We hope NucBase will be useful for a larger community of researchers, since it makes exploration of small nucleic sequences in any organism much easier.

Identifiers

PMID23276284
PMCPMC3554603
OpenAlexW2115032943

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.