Evidence map›Paper›PMID 11972896›Full record

ArticleBMC bioinformatics2002

CoreGenes: a computational tool for identifying and cataloging "core" genes in a set of small genomes.

Nikhat Zafar, Raja Mazumder, Donald Seto

Abstract readComparative Study
In one paragraph

Article in BMC bioinformatics, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. Article
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  15. Viruses · 2019
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  17. Article
  18. Article
  19. Complete Genome of theFrontiers in microbiology · 2018
    Article
  20. Characterization and Genomic Analyses ofFrontiers in microbiology · 2018
    Article

15 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

3 authors.

Nikhat ZafarSchool of Computational Sciences, George Mason University, 10900 University Boulevard, MSN 4E3, Manassas, VA 20110 USA. nikhatzafar@yahoo.com
Raja Mazumder
Donald Seto

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImprovements in DNA sequencing technology and methodology have led to the rapid expansion of databases comprising DNA sequence, gene and genome data. Lower operational costs and heightened interest resulting from initial intriguing novel discoveries from genomics are also contributing to the accumulation of these data sets. A major challenge is to analyze and to mine data from these databases, especially whole genomes. There is a need for computational tools that look globally at genomes for data mining.

resultsCoreGenes is a global JAVA-based interactive data mining tool that identifies and catalogs a "core" set of genes from two to five small whole genomes simultaneously. CoreGenes performs hierarchical and iterative BLASTP analyses using one genome as a reference and another as a query. Subsequent query genomes are compared against each newly generated "consensus." These iterations lead to a matrix comprising related genes from this set of genomes, e. g., viruses, mitochondria and chloroplasts. Currently the software is limited to small genomes on the order of 330 kilobases or less.

conclusionA computational tool CoreGenes has been developed to analyze small whole genomes globally. BLAST score-related and putatively essential "core" gene data are displayed as a table with links to GenBank for further data on the genes of interest. This web resource is available at http://pumpkins.ib3.gmu.edu:8080/CoreGenes or http://www.bif.atcc.org/CoreGenes.

Indexed as

GenomeSoftwareAlgorithmsChloroplastsComputational BiologyDatabases, GeneticGenesGenes, EssentialGenes, PlantGenes, ViralGenome, PlantGenome, ViralGenomicsInternetMitochondriaProgramming LanguagesViral Structural Proteins

Identifiers

PMID11972896
PMCPMC111185

What OpenQuestion holds

Textmetadata
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.