Evidence map›Paper›PMID 36430895›Full record

ArticleInternational journal of molecular sciences2022

KARAJ: An Efficient Adaptive Multi-Processor Tool to Streamline Genomic and Transcriptomic Sequence Data Acquisition.

Mahdieh Labani, Amin Beheshti, Nigel H Lovell, Hamid Alinejad-Rokny, Ali Afrasiabi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2022. 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

5 authors.

Mahdieh LabaniBiomedical Machine Learning Lab, The Graduate School of Biomedical Engineering, University of New South Wales (UNSW), Sydney, NSW 2052, Australia.
Amin BeheshtiData Analytics Lab, Department of Computing, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0002-5988-5494
Nigel H LovellThe Graduate School of Biomedical Engineering (GSBmE), University of New South Wales (UNSW), Sydney, NSW 2052, Australia.
Hamid Alinejad-RoknyBiomedical Machine Learning Lab, The Graduate School of Biomedical Engineering, University of New South Wales (UNSW), Sydney, NSW 2052, Australia.
Ali AfrasiabiBiomedical Machine Learning Lab, The Graduate School of Biomedical Engineering, University of New South Wales (UNSW), Sydney, NSW 2052, Australia.

Funding

UNSW Sydney p3432
6 · The paper itself

Abstract

Here we developed

Indexed as

SoftwareTranscriptomeGenomeGenomicsMetadataBioinformaticsbiological dataDownloadFASTQGenomicsLinuxsequence datatranscriptomics

Identifiers

PMID36430895
PMCPMC9694301

What Socratic 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 Socratic graph.