Evidence map›Paper›PMID 29106641›Full record

ArticleNucleic acids research2018

The MAR databases: development and implementation of databases specific for marine metagenomics.

Terje Klemetsen, Inge A Raknes, Juan Fu, Alexander Agafonov, Sudhagar V Balasundaram, Giacomo Tartari, Espen Robertsen, Nils P Willassen

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

73 citing papers in PubMed.

  1. Article
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  13. Visualizing metagenomic and metatranscriptomic data: A comprehensive review.Computational and structural biotechnology journal · 2024
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

13 more citing papers are in PubMed but not listed here.

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

8 authors.

Terje KlemetsenCentre for Bioinformatics, Faculty of science and technology, UiT The Arctic University of Norway, PO Box 6050 Langnes, TromsøN-9037, Norway.
Inge A RaknesCentre for Bioinformatics, Faculty of science and technology, UiT The Arctic University of Norway, PO Box 6050 Langnes, TromsøN-9037, Norway.
Juan FuCentre for Bioinformatics, Faculty of science and technology, UiT The Arctic University of Norway, PO Box 6050 Langnes, TromsøN-9037, Norway.
Alexander AgafonovCentre for Bioinformatics, Faculty of science and technology, UiT The Arctic University of Norway, PO Box 6050 Langnes, TromsøN-9037, Norway.
Sudhagar V BalasundaramCentre for Bioinformatics, Faculty of science and technology, UiT The Arctic University of Norway, PO Box 6050 Langnes, TromsøN-9037, Norway.
Giacomo TartariCentre for Bioinformatics, Faculty of science and technology, UiT The Arctic University of Norway, PO Box 6050 Langnes, TromsøN-9037, Norway.
Espen RobertsenCentre for Bioinformatics, Faculty of science and technology, UiT The Arctic University of Norway, PO Box 6050 Langnes, TromsøN-9037, Norway.
Nils P WillassenCentre for Bioinformatics, Faculty of science and technology, UiT The Arctic University of Norway, PO Box 6050 Langnes, TromsøN-9037, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce the marine databases; MarRef, MarDB and MarCat (https://mmp.sfb.uit.no/databases/), which are publicly available resources that promote marine research and innovation. These data resources, which have been implemented in the Marine Metagenomics Portal (MMP) (https://mmp.sfb.uit.no/), are collections of richly annotated and manually curated contextual (metadata) and sequence databases representing three tiers of accuracy. While MarRef is a database for completely sequenced marine prokaryotic genomes, which represent a marine prokaryote reference genome database, MarDB includes all incomplete sequenced prokaryotic genomes regardless level of completeness. The last database, MarCat, represents a gene (protein) catalog of uncultivable (and cultivable) marine genes and proteins derived from marine metagenomics samples. The first versions of MarRef and MarDB contain 612 and 3726 records, respectively. Each record is built up of 106 metadata fields including attributes for sampling, sequencing, assembly and annotation in addition to the organism and taxonomic information. Currently, MarCat contains 1227 records with 55 metadata fields. Ontologies and controlled vocabularies are used in the contextual databases to enhance consistency. The user-friendly web interface lets the visitors browse, filter and search in the contextual databases and perform BLAST searches against the corresponding sequence databases. All contextual and sequence databases are freely accessible and downloadable from https://s1.sfb.uit.no/public/mar/.

Indexed as

Databases, GeneticDatabases, Nucleic AcidDatabases, ProteinGenes, ArchaealGenes, BacterialMetagenomicsAnimalsAquatic OrganismsArchaeal ProteinsBacterial ProteinsBase SequenceDNA, ArchaealDNA, BacterialFresh WaterGenomeInternetArchaeal ProteinsBacterial ProteinsDNA, ArchaealDNA, Bacterial

Identifiers

PMID29106641
PMCPMC5753341

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.