Evidence map›Paper›PMID 32838733›Full record

ArticleBMC bioinformatics2020

Bioinformatics tools for marine biotechnology: a practical tutorial with a metagenomic approach.

Ludovica Liguori, Maria Monticelli, Mariateresa Allocca, Maria Vittoria Cubellis, Bruno Hay Mele

Abstract read
In one paragraph

Article in BMC bioinformatics, 2020. 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.

Ludovica LiguoriDipartimento di Scienze e Tecnologie Ambientali, Biologiche e Farmaceutiche, Università degli Studi della Campania "Luigi Vanvitelli", 81100, Caserta, Italy.
Maria MonticelliDipartimento di Biologia, Università Federico II, 80126, Naples, Italy.
Mariateresa AlloccaDipartimento di Scienze e Tecnologie Ambientali, Biologiche e Farmaceutiche, Università degli Studi della Campania "Luigi Vanvitelli", 81100, Caserta, Italy.
Maria Vittoria CubellisDipartimento di Biologia, Università Federico II, 80126, Naples, Italy. cubellis@unina.it.
Bruno Hay MeleDipartimento di Biologia, Università Federico II, 80126, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBioinformatics has pervaded all fields of biology and has become an indispensable tool for almost all research projects. Although teaching bioinformatics has been incorporated in all traditional life science curricula, practical hands-on experiences in tight combination with wet-lab experiments are needed to motivate students.

resultsWe present a tutorial that starts from a practical problem: finding novel enzymes from marine environments. First, we introduce the idea of metagenomics, a recent approach that extends biotechnology to non-culturable microbes. We presuppose that a probe for the screening of metagenomic cosmid library is needed. The students start from the chemical structure of the substrate that should be acted on by the novel enzyme and end with the sequence of the probe. To attain their goal, they discover databases such as BRENDA and programs such as BLAST and Clustal Omega. Students' answers to a satisfaction questionnaire show that a multistep tutorial integrated into a research wet-lab project is preferable to conventional lectures illustrating bioinformatics tools.

conclusionExperimental biologists can better operate basic bioinformatics if a problem-solving approach is chosen.

Indexed as

MetagenomicsAmino Acid SequenceBacterial ProteinsBase SequenceBiotechnologyComputational BiologyDatabases, FactualDatabases, ProteinGoalsHumansLearningMarine BiologyUser-Computer InterfaceBacterial ProteinsComputer-based learningGraduate educationMarine biotechnology

Identifiers

PMID32838733
PMCPMC7447578

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.