Evidence map›Paper›PMID 31839703›Full record

ReviewEvolutionary bioinformatics online2019

Applications of Next-Generation Sequencing Technologies and Computational Tools in Molecular Evolution and Aquatic Animals Conservation Studies: A Short Review.

Min Pau Tan, Li Lian Wong, Siti Aisyah Razali, Nor Afiqah-Aleng, Siti Azizah Mohd Nor, Yeong Yik Sung, Yves Van de Peer, Patrick Sorgeloos, Muhd Danish-Daniel

Abstract readReview
In one paragraph

Review in Evolutionary bioinformatics online, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Threatened Species Initiative: Empowering conservation action using genomic resources.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  8. Article
  9. 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

9 authors.

Min Pau TanInstitute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia.ORCID https://orcid.org/0000-0003-0149-5247
Li Lian WongInstitute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia.
Siti Aisyah RazaliInstitute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia.
Nor Afiqah-AlengInstitute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia.
Siti Azizah Mohd NorInstitute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia.
Yeong Yik SungInstitute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia.
Yves Van de PeerInstitute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia.
Patrick SorgeloosInstitute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia.
Muhd Danish-DanielInstitute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia.ORCID https://orcid.org/0000-0001-9438-0128

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquatic ecosystems that form major biodiversity hotspots are critically threatened due to environmental and anthropogenic stressors. We believe that, in this genomic era, computational methods can be applied to promote aquatic biodiversity conservation by addressing questions related to the evolutionary history of aquatic organisms at the molecular level. However, huge amounts of genomics data generated can only be discerned through the use of bioinformatics. Here, we examine the applications of next-generation sequencing technologies and bioinformatics tools to study the molecular evolution of aquatic animals and discuss the current challenges and future perspectives of using bioinformatics toward aquatic animal conservation efforts.

Indexed as

aquatic animalsBioinformaticsconservationgenomicsmolecular evolution

Identifiers

PMID31839703
PMCPMC6896124

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.