Evidence map›Paper›PMID 25076982›Full record

ArticleComputational systems bioinformatics. Computational Systems Bioinformatics Conference2010

Novel Gene Discovery in the Human Malaria Parasite using Nucleosome Positioning Data.

N Pokhriyal, N Ponts, E Y Harris, K G Le Roch, S Lonardi

Abstract read
PubMed Full text at PMC
In one paragraph

Article in Computational systems bioinformatics. Computational Systems Bioinformatics Conference, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

N PokhriyalDepartment of Computer Science and Engineering, University of California, Riverside, CA 92521, USA.
N PontsDepartment of Cell Biology and Neuroscience, University of California, Riverside, CA 92521, USA.
E Y HarrisDepartment of Computer Science and Engineering, University of California, Riverside, CA 92521, USA.
K G Le RochDepartment of Cell Biology and Neuroscience, University of California, Riverside, CA 92521, USA.
S LonardiDepartment of Computer Science and Engineering, University of California, Riverside, CA 92521, USA.

Funding

Understanding the Role of Nucleosome Turnover in the Malaria ParasiteR01AI085077 · NIAID · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI LE ROCH, KARINE GAELLE, LONARDI, STEFANO · 2010 to 2013
$1.6M
NIAID NIH HHS R01 AI085077
6 · The paper itself

Abstract

Recent genome-wide studies on nucleosome positioning in model organisms have shown strong evidence that nucleosome landscapes in the proximity of protein-coding genes exhibit regular characteristic patterns. Here, we propose a computational framework to discover novel genes in the human malaria parasite genome

Identifiers

PMID25076982
PMCPMC4112967

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.