A new approach (EDIZ) for big data variant prioritization

Whole exome sequencing (WES), workflow consists of the following steps: raw data quality assessment, pre-processing, alignment, post-processing, variant calling, annotation, and prioritization. WES of human samples was reported to detect approximately 20,000–30,000 SNV and indel calls on average. Th...

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Bibliographic Details
Published in:Network modeling and analysis in health informatics and bioinformatics (Wien) 2019-12, Vol.8 (1), p.20, Article 20
Main Authors: Ergun, Mehmet Ali, Guntekin Ergun, Sezen, Percin, E. Ferda
Format: Article
Language:English
Subjects:
Annotations
Applications of Graph Theory and Complex Networks
Big Data
Bioinformatics
Computational Biology/Bioinformatics
Computer Science
Conflicts of interest
Datasets
Disease
Genomes
Health Informatics
Methods
Mutation
Original Article
Patients
Quality assessment
Quality control
Web building
Workflow
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Summary:Whole exome sequencing (WES), workflow consists of the following steps: raw data quality assessment, pre-processing, alignment, post-processing, variant calling, annotation, and prioritization. WES of human samples was reported to detect approximately 20,000–30,000 SNV and indel calls on average. Therefore, it is very important to choose the best tool that suits the related study. In this study, we aimed to upgrade our previous in-house variant prioritization method to analyse WES data without using in silico methods. By this method, the annotated data have been decreased by means of 52.3 times. Therefore, we both established a successful WES workflow for increasing the diagnostic rate of patients with reducing the raw data. Recently, we are also building a web-based workflow to help the users from all over the world.
ISSN:2192-6662
2192-6670
DOI:10.1007/s13721-019-0197-1