Evidence map›Paper›PMID 26254488›Full record

ArticleBioinformatics (Oxford, England)2015

BLSSpeller: exhaustive comparative discovery of conserved cis-regulatory elements.

Dieter De Witte, Jan Van de Velde, Dries Decap, Michiel Van Bel, Pieter Audenaert, Piet Demeester, Bart Dhoedt, Klaas Vandepoele, Jan Fostier

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. BLSSpeller to discover novel regulatory motifs in maize.DNA research : an international journal for rapid publication of reports on genes and genomes · 2022
    Article
  4. Deep Conservation ofThe Plant cell · 2019
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
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

9 authors at 2 institutions in 1 country.

Dieter De WitteDepartment of Information Technology (INTEC), Ghent University-iMinds, Ghent, Belgium.
Jan Van de VeldeDepartment of Plant Systems Biology, VIB and Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Dries DecapDepartment of Information Technology (INTEC), Ghent University-iMinds, Ghent, Belgium.
Michiel Van BelDepartment of Plant Systems Biology, VIB and Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Pieter AudenaertDepartment of Information Technology (INTEC), Ghent University-iMinds, Ghent, Belgium.
Piet DemeesterDepartment of Information Technology (INTEC), Ghent University-iMinds, Ghent, Belgium.
Bart DhoedtDepartment of Information Technology (INTEC), Ghent University-iMinds, Ghent, Belgium.
Klaas VandepoeleDepartment of Plant Systems Biology, VIB and Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Jan FostierDepartment of Information Technology (INTEC), Ghent University-iMinds, Ghent, Belgium.
Ghent University · BEiMinds · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationThe accurate discovery and annotation of regulatory elements remains a challenging problem. The growing number of sequenced genomes creates new opportunities for comparative approaches to motif discovery. Putative binding sites are then considered to be functional if they are conserved in orthologous promoter sequences of multiple related species. Existing methods for comparative motif discovery usually rely on pregenerated multiple sequence alignments, which are difficult to obtain for more diverged species such as plants. As a consequence, misaligned regulatory elements often remain undetected.

resultsWe present a novel algorithm that supports both alignment-free and alignment-based motif discovery in the promoter sequences of related species. Putative motifs are exhaustively enumerated as words over the IUPAC alphabet and screened for conservation using the branch length score. Additionally, a confidence score is established in a genome-wide fashion. In order to take advantage of a cloud computing infrastructure, the MapReduce programming model is adopted. The method is applied to four monocotyledon plant species and it is shown that high-scoring motifs are significantly enriched for open chromatin regions in Oryza sativa and for transcription factor binding sites inferred through protein-binding microarrays in O.sativa and Zea mays. Furthermore, the method is shown to recover experimentally profiled ga2ox1-like KN1 binding sites in Z.mays. AVAILABILITY AND IMPLEMENTATION: BLSSpeller was written in Java. Source code and manual are available at http://bioinformatics.intec.ugent.be/blsspeller CONTACT: Klaas.Vandepoele@psb.vib-ugent.be or jan.fostier@intec.ugent.be. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

AlgorithmsGenome, PlantPromoter Regions, GeneticBase SequenceBinding SitesConserved SequenceDNA, PlantNucleotide MotifsSequence AlignmentSequence Analysis, DNASoftwareTranscription FactorsDNA, PlantTranscription Factors

Identifiers

PMID26254488
PMCPMC4653392
OpenAlexW1854449908

What OpenQuestion holds

Textmetadata
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.