Evidence map›Paper›PMID 16351753›Full record

ArticleBMC bioinformatics2005

HmtDB, a human mitochondrial genomic resource based on variability studies supporting population genetics and biomedical research.

Marcella Attimonelli, Matteo Accetturo, Monica Santamaria, Daniela Lascaro, Gaetano Scioscia, Graziano Pappadà, Luigi Russo, Luigi Zanchetta, Mila Tommaseo-Ponzetta

Abstract read
In one paragraph

Article in BMC bioinformatics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. MODB: a comprehensive mitochondrial genome database for Mollusca.Database : the journal of biological databases and curation · 2021
    Article
  3. Mitochondrial DNA variation and cancer.Nature reviews. Cancer · 2021
    Review
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  19. Article
  20. GOBASE: an organelle genome database.Nucleic acids research · 2009
    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.

Marcella AttimonelliDipartimento di Biochimica e Biologia Molecolare, Università di Bari, Via E. Orabona 4, 70126 Bari, Italy. m.attimonelli@biologia.uniba.it
Matteo Accetturo
Monica Santamaria
Daniela Lascaro
Gaetano Scioscia
Graziano Pappadà
Luigi Russo
Luigi Zanchetta
Mila Tommaseo-Ponzetta

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPopulation genetics studies based on the analysis of mtDNA and mitochondrial disease studies have produced a huge quantity of sequence data and related information. These data are at present worldwide distributed in differently organised databases and web sites not well integrated among them. Moreover it is not generally possible for the user to submit and contemporarily analyse its own data comparing them with the content of a given database, both for population genetics and mitochondrial disease data.

resultsHmtDB is a well-integrated web-based human mitochondrial bioinformatic resource aimed at supporting population genetics and mitochondrial disease studies, thanks to a new approach based on site-specific nucleotide and aminoacid variability estimation. HmtDB consists of a database of Human Mitochondrial Genomes, annotated with population data, and a set of bioinformatic tools, able to produce site-specific variability data and to automatically characterize newly sequenced human mitochondrial genomes. A query system for the retrieval of genomes and a web submission tool for the annotation of new genomes have been designed and will soon be implemented. The first release contains 1255 fully annotated human mitochondrial genomes. Nucleotide site-specific variability data and multialigned genomes can be downloaded. Intra-human and inter-species aminoacid variability data estimated on the 13 coding for proteins genes of the 1255 human genomes and 60 mammalian species are also available. HmtDB is freely available, upon registration, at http://www.hmdb.uniba.it.

conclusionThe HmtDB project will contribute towards completing and/or refining haplogroup classification and revealing the real pathogenic potential of mitochondrial mutations, on the basis of variability estimation.

Indexed as

Databases, GeneticDNA, MitochondrialComputational BiologyDatabases, FactualDatabases, Nucleic AcidDatabases, ProteinGenetics, PopulationGenomeGenotypeHumansInformation Storage and RetrievalInternetMitochondrial ProteinsSequence AlignmentDNA, MitochondrialMitochondrial Proteins

Identifiers

PMID16351753
PMCPMC1866381

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LicenceCC BY
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Registered trials

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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.