Evidence map›Paper›PMID 31139204›Full record

ArticleFrontiers in genetics2019

Cintia C Palu, Marcelo Ribeiro-Alves, Yanxin Wu, Brendan Lawlor, Pavel V Baranov, Brian Kelly, Paul Walsh

Abstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Cintia C PaluSchool of Biochemistry and Cell Biology, University College Cork, Cork, Ireland.
Marcelo Ribeiro-AlvesLaboratory of Clinical Research on STD/AIDS, National Institute of Infectology Evandro Chagas (INI) - Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, Brazil.
Yanxin WuNSilico Life Science Ltd., Cork, Ireland.
Brendan LawlorNSilico Life Science Ltd., Cork, Ireland.
Pavel V BaranovSchool of Biochemistry and Cell Biology, University College Cork, Cork, Ireland.
Brian KellyNSilico Life Science Ltd., Cork, Ireland.
Paul WalshNSilico Life Science Ltd., Cork, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the key challenges for transcriptomics-based research is not only the processing of large data but also modeling the complexity of features that are sources of variation across samples, which is required for an accurate statistical analysis. Therefore, our goal is to foster access for wet lab researchers to bioinformatics tools, in order to enhance their ability to explore biological aspects and validate hypotheses with robust analysis. In this context, user-friendly interfaces can enable researchers to apply computational biology methods without requiring bioinformatics expertise. Such bespoke platforms can improve the quality of the findings by allowing the researcher to freely explore the data and test a new hypothesis with independence.

Indexed as

data-drivendifferential expression analysisdifferential gene expressionedgeRRNA-seqstatistical modelingtranscriptomics

Identifiers

PMID31139204
PMCPMC6527599

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.