Evidence map›Paper›PMID 10592199›Full record

ArticleNucleic acids research2000

WIT: integrated system for high-throughput genome sequence analysis and metabolic reconstruction.

R Overbeek, N Larsen, G D Pusch, M D'Souza, E Selkov, N Kyrpides, M Fonstein, N Maltsev, E Selkov

Abstract read
In one paragraph

Article in Nucleic acids research, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

R OverbeekIntegrated Genomics Inc., 2201 W. Campbell Park Drive, Chicago, IL 60612, USA. ross@integratedgenomics.com
N Larsen
G D Pusch
M D'Souza
E Selkov
N Kyrpides
M Fonstein
N Maltsev
E Selkov

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The WIT (What Is There) (http://wit.mcs.anl.gov/WIT2/) system has been designed to support comparative analysis of sequenced genomes and to generate metabolic reconstructions based on chromosomal sequences and metabolic modules from the EMP/MPW family of databases. This system contains data derived from about 40 completed or nearly completed genomes. Sequence homologies, various ORF-clustering algorithms, relative gene positions on the chromosome and placement of gene products in metabolic pathways (metabolic reconstruction) can be used for the assignment of gene functions and for development of overviews of genomes within WIT. The integration of a large number of phylogenetically diverse genomes in WIT facilitates the understanding of the physiology of different organisms.

Indexed as

Databases, FactualGenomeSystems IntegrationInternetOpen Reading Frames

Identifiers

PMID10592199
PMCPMC102471

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.