A new approach (EDIZ) for big data variant prioritization

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Atıf İçin Kopyala

ERGÜN M. A., Ergun S. G., Percin E. F.

NETWORK MODELING AND ANALYSIS IN HEALTH INFORMATICS AND BIOINFORMATICS, cilt.8, sa.1, 2019 (ESCI)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 8 Sayı: 1
• Basım Tarihi: 2019
• Doi Numarası: 10.1007/s13721-019-0197-1
• Dergi Adı: NETWORK MODELING AND ANALYSIS IN HEALTH INFORMATICS AND BIOINFORMATICS
• Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus
• Gazi Üniversitesi Adresli: Evet

Özet

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.