Evidence map›Paper›PMID 33081689›Full record

ReviewBMC genomics2020

Unlocking the efficiency of genomics laboratories with robotic liquid-handling.

Houriiyah Tegally, James Emmanuel San, Jennifer Giandhari, Tulio de Oliveira

Open access · goldAbstract readReview
In one paragraph

Review in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
4.2field-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

43 citing papers in PubMed, 101 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

4 authors at 2 institutions in 2 countries.

Houriiyah TegallyKwazulu-Natal Research and Innovation Sequencing Platform (KRISP), College of Health Sciences, K-RITH Tower Building, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, 719 Umbilo Road, Durban, South Africa. houriiyah.tegally@gmail.com.ORCID http://orcid.org/0000-0002-7102-8540
James Emmanuel SanKwazulu-Natal Research and Innovation Sequencing Platform (KRISP), College of Health Sciences, K-RITH Tower Building, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, 719 Umbilo Road, Durban, South Africa.
Jennifer GiandhariKwazulu-Natal Research and Innovation Sequencing Platform (KRISP), College of Health Sciences, K-RITH Tower Building, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, 719 Umbilo Road, Durban, South Africa.
Tulio de OliveiraKwazulu-Natal Research and Innovation Sequencing Platform (KRISP), College of Health Sciences, K-RITH Tower Building, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, 719 Umbilo Road, Durban, South Africa. deoliveira@ukzn.ac.za.
University of KwaZulu-Natal · ZAUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In research and clinical genomics laboratories today, sample preparation is the bottleneck of experiments, particularly when it comes to high-throughput next generation sequencing (NGS). More genomics laboratories are now considering liquid-handling automation to make the sequencing workflow more efficient and cost effective. The question remains as to its suitability and return on investment. A number of points need to be carefully considered before introducing robots into biological laboratories. Here, we describe the state-of-the-art technology of both sophisticated and do-it-yourself (DIY) robotic liquid-handlers and provide a practical review of the motivation, implications and requirements of laboratory automation for genome sequencing experiments.

Indexed as

RoboticsRobotic Surgical ProceduresAutomationGenomicsHigh-Throughput Nucleotide SequencingLaboratoriesAutomated liquid handlingAutomating life sciencesGenomicsLab automationLiquid handling robotsLiquid handling systemsWorkstations

Identifiers

PMID33081689
PMCPMC7576741
OpenAlexW3093830068

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.