Evidence map›Paper›PMID 23620293›Full record

ArticleNucleic acids research2013

DIALIGN at GOBICS--multiple sequence alignment using various sources of external information.

Layal Al Ait, Zaher Yamak, Burkhard Morgenstern

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
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  15. In-silico Design of DNA Oligonucleotides: Challenges and Approaches.Computational and structural biotechnology journal · 2019
    Review
  16. Article
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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

3 authors.

Layal Al AitDepartment of Bioinformatics, University of Göttingen, Institute of Microbiology and Genetics, Goldschmidtstr. 1, 37077 Göttingen, Germany.
Zaher Yamak
Burkhard Morgenstern

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DIALIGN is an established tool for multiple sequence alignment that is particularly useful to detect local homologies in sequences with low overall similarity. In recent years, various versions of the program have been developed, some of which are fully automated, whereas others are able to accept user-specified external information. In this article, we review some versions of the program that are available through 'Göttingen Bioinformatics Compute Server'. In addition to previously described implementations, we present a new release of DIALIGN called 'DIALIGN-PFAM', which uses hits to the PFAM database for improved protein alignment. Our software is available through http://dialign.gobics.de/.

Indexed as

SoftwareAlgorithmsInternetSequence AlignmentSequence Analysis, DNASequence Analysis, Protein

Identifiers

PMID23620293
PMCPMC3692126

What OpenQuestion holds

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LicenceCC BY-NC
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.