Evidence map›Paper›PMID 24533055›Full record

ArticlePloS one2014

Binding sites analyser (BiSA): software for genomic binding sites archiving and overlap analysis.

Matloob Khushi, Christopher Liddle, Christine L Clarke, J Dinny Graham

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Measuring the spatial correlations of protein binding sites.Bioinformatics (Oxford, England) · 2016
    Article
  5. Article
  6. 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

4 authors.

Matloob KhushiWestmead Institute for Cancer Research, Sydney Medical School, University of Sydney and the Westmead Millennium Institute, Westmead, New South Wales, Australia ; Australian Breast Cancer Tissue Bank, Sydney Medical School, University of Sydney and the Westmead Millennium Institute, Westmead, New South Wales, Australia.
Christopher LiddleStorr Liver Unit, Sydney Medical School, University of Sydney and the Westmead Millennium Institute, Westmead, New South Wales, Australia.
Christine L ClarkeWestmead Institute for Cancer Research, Sydney Medical School, University of Sydney and the Westmead Millennium Institute, Westmead, New South Wales, Australia.
J Dinny GrahamWestmead Institute for Cancer Research, Sydney Medical School, University of Sydney and the Westmead Millennium Institute, Westmead, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide mapping of transcription factor binding and histone modification reveals complex patterns of interactions. Identifying overlaps in binding patterns by different factors is a major objective of genomic studies, but existing methods to archive large numbers of datasets in a personalised database lack sophistication and utility. Therefore we have developed transcription factor DNA binding site analyser software (BiSA), for archiving of binding regions and easy identification of overlap with or proximity to other regions of interest. Analysis results can be restricted by chromosome or base pair overlap between regions or maximum distance between binding peaks. BiSA is capable of reporting overlapping regions that share common base pairs; regions that are nearby; regions that are not overlapping; and average region sizes. BiSA can identify genes located near binding regions of interest, genomic features near a gene or locus of interest and statistical significance of overlapping regions can also be reported. Overlapping results can be visualized as Venn diagrams. A major strength of BiSA is that it is supported by a comprehensive database of publicly available transcription factor binding sites and histone modifications, which can be directly compared to user data. The documentation and source code are available on http://bisa.sourceforge.net.

Indexed as

Binding SitesSoftwareAlgorithmsAnimalsChromosome MappingDatabases, FactualGenomeGenomicsHistonesHumansKnowledge BasesMiceModels, StatisticalSequence Analysis, DNASequence Analysis, ProteinTranscription FactorsHistonesTranscription Factors

Identifiers

PMID24533055
PMCPMC3922719

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.