A High-Throughput Computational Framework for Identifying Significant Copy Number Aberrations from Array Comparative Genomic Hybridisation Data

المؤلفون المشاركون

Scarpini, Cinzia G.
Karagavriilidou, Konstantina
Carter, Stephanie A.
Calleja, Mark
Barna, Jenny C. J.
Coleman, Nicholas
Roberts, Ian

المصدر

Advances in Bioinformatics

العدد

المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-12، 12ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2012-09-13

دولة النشر

مصر

عدد الصفحات

12

التخصصات الرئيسية

العلوم الطبيعية والحياتية (متداخلة التخصصات)
الأحياء

الملخص EN

Reliable identification of copy number aberrations (CNA) from comparative genomic hybridization data would be improved by the availability of a generalised method for processing large datasets.

To this end, we developed swatCGH, a data analysis framework and region detection heuristic for computational grids.

swatCGH analyses sequentially displaced (sliding) windows of neighbouring probes and applies adaptive thresholds of varying stringency to identify the 10% of each chromosome that contains the most frequently occurring CNAs.

We used the method to analyse a published dataset, comparing data preprocessed using four different DNA segmentation algorithms, and two methods for prioritising the detected CNAs.

The consolidated list of the most commonly detected aberrations confirmed the value of swatCGH as a simplified high-throughput method for identifying biologically significant CNA regions of interest.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Roberts, Ian& Carter, Stephanie A.& Scarpini, Cinzia G.& Karagavriilidou, Konstantina& Barna, Jenny C. J.& Calleja, Mark…[et al.]. 2012. A High-Throughput Computational Framework for Identifying Significant Copy Number Aberrations from Array Comparative Genomic Hybridisation Data. Advances in Bioinformatics،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-505533

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Roberts, Ian…[et al.]. A High-Throughput Computational Framework for Identifying Significant Copy Number Aberrations from Array Comparative Genomic Hybridisation Data. Advances in Bioinformatics No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-505533

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Roberts, Ian& Carter, Stephanie A.& Scarpini, Cinzia G.& Karagavriilidou, Konstantina& Barna, Jenny C. J.& Calleja, Mark…[et al.]. A High-Throughput Computational Framework for Identifying Significant Copy Number Aberrations from Array Comparative Genomic Hybridisation Data. Advances in Bioinformatics. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-505533

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-505533