Evidence map›Paper›PMID 11827955›Full record

ArticleGenome research2002

In silico prediction of scaffold/matrix attachment regions in large genomic sequences.

Matthias Frisch, Kornelie Frech, Andreas Klingenhoff, Kerstin Cartharius, Ines Liebich, Thomas Werner

Open access · bronzeAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Genome research, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
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  4. Genome-WideFrontiers in cellular and infection microbiology · 2016
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  15. Determination of the in vivo structural DNA loop organization in the genomic region of the rat albumin locus by means of a topological approach.DNA research : an international journal for rapid publication of reports on genes and genomes · 2010
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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

6 authors at 2 institutions in 3 countries.

Matthias FrischGenomatix Software, D-80339 München, Germany. frisch@genomatix.de
Kornelie Frech
Andreas Klingenhoff
Kerstin Cartharius
Ines Liebich
Thomas Werner
Institute of Bioinformatics and Systems Biology · DENational Institute of Genomic Medicine · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scaffold/matrix attachment regions (S/MARs) are essential regulatory DNA elements of eukaryotic cells. They are major determinants of locus control of gene expression and can shield gene expression from position effects. Experimental detection of S/MARs requires substantial effort and is not suitable for large-scale screening of genomic sequences. In silico prediction of S/MARs can provide a crucial first selection step to reduce the number of candidates. We used experimentally defined S/MAR sequences as the training set and generated a library of new S/MAR-associated, AT-rich patterns described as weight matrices. A new tool called SMARTest was developed that identifies potential S/MARs by performing a density analysis based on the S/MAR matrix library (http://www.genomatix.de/cgi-bin/smartest_pd/smartest.pl). S/MAR predictions were evaluated by using six genomic sequences from animal and plant for which S/MARs and non-S/MARs were experimentally mapped. SMARTest reached a sensitivity of 38% and a specificity of 68%. In contrast to previous algorithms, the SMARTest approach does not depend on the sequence context and is suitable to analyze long genomic sequences up to the size of whole chromosomes. To demonstrate the feasibility of large-scale S/MAR prediction, we analyzed the recently published chromosome 22 sequence and found 1198 S/MAR candidates.

Indexed as

AlgorithmsAnimalsBinding SitesChickensComputational BiologyDatabases, GeneticDNADNA-Binding ProteinsDNA, PlantHumansMiceNuclear MatrixNuclear ProteinsOryzaSoftwareDNADNA-Binding ProteinsDNA, PlantNuclear Proteins

Identifiers

PMID11827955
PMCPMC155272
OpenAlexW1984594229

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.