• P JYOTHIRMAI
• DEVAR HARIBHARATI S
• DIKSHA NAIK
• POOJA NAIK
• Dr. Supriya Patil

Next generation sequencing (NGS) is an efficient method used for Deoxyribonucleic acid (DNA) sequencing. Although, with recent advancement in NGS technology, the majority of variants classified using NGS are accurate and reliable but however, a small subset of variants still do require orthogonal confirmation. For this reason, many clinical laboratories confirm NGS results using orthogonal technologies such as Sanger sequencing. Here, we use machine-learning-based model to differentiate between these two types of variants: those that do not require confirmation using an orthogonal technology (high confidence variants), and those that require additional quality testing (low confidence variants). This approach allows identification of few important variants that require orthogonal confirmation.

Next Generation Sequencing (NGS), Deoxyribonucleic acid (DNA), High confidence variants, Low confidence variants

"NEXT GENERATION SEQUENCING BASED CANCER CLASSIFICATION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.498-500, April-2019, Available :http://www.jetir.org/papers/JETIR1904K73.pdf

"NEXT GENERATION SEQUENCING BASED CANCER CLASSIFICATION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp498-500, April-2019, Available at : http://www.jetir.org/papers/JETIR1904K73.pdf