Evidence map›Paper›PMID 17931424›Full record

ArticleBMC bioinformatics2007

XSTREAM: a practical algorithm for identification and architecture modeling of tandem repeats in protein sequences.

Aaron M Newman, James B Cooper

Abstract read
In one paragraph

Article in BMC bioinformatics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing 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

87 citing papers in PubMed.

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  13. Short macrocyclic peptides in sponge genomes.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. mBio · 2023
    Article
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  18. Detection of tandem repeats in the Capsicum annuum genome.DNA research : an international journal for rapid publication of reports on genes and genomes · 2023
    Article
  19. Article
  20. Article

27 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

2 authors.

Aaron M NewmanBiomolecular Science and Engineering Program, University of California, Santa Barbara, CA 93106, USA. a_newman@lifesci.ucsb.edu
James B Cooper

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiological sequence repeats arranged in tandem patterns are widespread in DNA and proteins. While many software tools have been designed to detect DNA tandem repeats (TRs), useful algorithms for identifying protein TRs with varied levels of degeneracy are still needed.

resultsTo address limitations of current repeat identification methods, and to provide an efficient and flexible algorithm for the detection and analysis of TRs in protein sequences, we designed and implemented a new computational method called XSTREAM. Running time tests confirm the practicality of XSTREAM for analyses of multi-genome datasets. Each of the key capabilities of XSTREAM (e.g., merging, nesting, long-period detection, and TR architecture modeling) are demonstrated using anecdotal examples, and the utility of XSTREAM for identifying TR proteins was validated using data from a recently published paper.

conclusionWe show that XSTREAM is a practical and valuable tool for TR detection in protein and nucleotide sequences at the multi-genome scale, and an effective tool for modeling TR domains with diverse architectures and varied levels of degeneracy. Because of these useful features, XSTREAM has significant potential for the discovery of naturally-evolved modular proteins with applications for engineering novel biostructural and biomimetic materials, and identifying new vaccine and diagnostic targets.

Indexed as

Amino Acid SequenceArtificial IntelligenceDatabases, ProteinGenome, ProtozoanMolecular Sequence DataPattern Recognition, AutomatedSequence Analysis, DNASequence Analysis, ProteinSequence Homology, Amino AcidSequence Homology, Nucleic AcidTandem Repeat Sequences

Identifiers

PMID17931424
PMCPMC2233649

What OpenQuestion holds

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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.