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Allele-specific binding (ASB) analyzer for annotation of allele-specific binding SNPs.
Li, Ying; Zhang, Xiao-Ou; Liu, Yan; Lu, Aiping.
Afiliación
  • Li Y; Research Center for Translational Medicine at East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200010, China.
  • Zhang XO; Research Center for Translational Medicine at East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200010, China.
  • Liu Y; Research Center for Translational Medicine at East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200010, China.
  • Lu A; Research Center for Translational Medicine at East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200010, China. APLV@tongji.edu.cn.
BMC Bioinformatics ; 24(1): 464, 2023 Dec 08.
Article en En | MEDLINE | ID: mdl-38066439
ABSTRACT

BACKGROUND:

Allele-specific binding (ASB) events occur when transcription factors (TFs) bind more favorably to one of the two parental alleles at heterozygous single nucleotide polymorphisms (SNPs). Evidence suggests that ASB events could reveal the impact of sequence variations on TF binding and may have implications for the risk of diseases.

RESULTS:

Here we present ASB-analyzer, a software platform that enables the users to quickly and efficiently input raw sequencing data to generate individual reports containing the cytogenetic map of ASB SNPs and their associated phenotypes. This interactive tool thereby combines ASB SNP identification, biological annotation, motif analysis, phenotype associations and report summary in one pipeline. With this pipeline, we identified 3772 ASB SNPs from thirty GM12878 ChIP-seq datasets and demonstrated that the ASB SNPs were more likely to be enriched at important sites in TF-binding domains.

CONCLUSIONS:

ASB-analyzer is a user-friendly tool that enables the detection, characterization and visualization of ASB SNPs. It is implemented in Python, R and bash shell and packaged in the Conda environment. It is available as an open-source tool on GitHub at https//github.com/Liying1996/ASBanalyzer .
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Factores de Transcripción / Polimorfismo de Nucleótido Simple Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Factores de Transcripción / Polimorfismo de Nucleótido Simple Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China