Evidence map›Paper›PMID 23962617›Full record

ArticleBioinformatics (Oxford, England)2013

Accurate identification of polyadenylation sites from 3' end deep sequencing using a naive Bayes classifier.

Sarah Sheppard, Nathan D Lawson, Lihua Julie Zhu

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

16 citing papers in PubMed, 36 citations in OpenAlex.

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  7. Alternative polyadenylation: methods, mechanism, function, and role in cancer.Journal of experimental & clinical cancer research : CR · 2021
    Review
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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

3 authors at 1 institution in 1 country.

Sarah SheppardProgram in Gene Function and Expression and Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, 364 Plantation St, Worcester, MA 01605, USA.
Nathan D Lawson
Lihua Julie Zhu
University of Massachusetts Chan Medical School · US

Funding

Transcriptional Control of Endothelial DifferentiationR01HL101374 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LAWSON, NATHAN D · 2010 to 2013
$1.6M
NHLBI NIH HHS R01 HL101374NHLBI NIH HHS R01HL101374
6 · The paper itself

Abstract

motivation3' end processing is important for transcription termination, mRNA stability and regulation of gene expression. To identify 3' ends, most techniques use an oligo-dT primer to construct deep sequencing libraries. However, this approach can lead to identification of artifactual polyadenylation sites due to internal priming in homopolymeric stretches of adenines. Although heuristic filters have been applied in these cases, they typically result in a high proportion of both false-positive and -negative classifications. Therefore, there is a need to develop improved algorithms to better identify mis-priming events in oligo-dT primed sequences.

resultsBy analyzing sequence features flanking 3' ends derived from oligo-dT-based sequencing, we developed a naïve Bayes classifier to classify them as true or false/internally primed. The resulting algorithm is highly accurate, outperforms previous heuristic filters and facilitates identification of novel polyadenylation sites.

Indexed as

3' Flanking RegionPolyadenylationAlgorithmsAnimalsBase SequenceBayes TheoremDNAHigh-Throughput Nucleotide SequencingHumansDNA

Identifiers

PMID23962617
PMCPMC3789547
OpenAlexW2135835936

What OpenQuestion holds

Textmetadata
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.