Amit Kairi
Ph.D. Bioinformatics
1
Publications
6 yr 6 mo
Duration
Research Thesis
Title
Development of Big Data Analytics Based Methods for Genome Assembly and Annotation.
Objectives
i. To develop algorithm for de novo genome assembly using big data analytical methods. ii. To propose a procedure for genome annotation. iii. To assess the performance of the developed algorithms against the existing algorithms iv. To develop a tool/software based on the proposed algorithms
Abstract
The study on “Development of Big Data Analytics Based Methods for Genome Assembly and Annotation” was carried out in the Centre for Agricultural Bioinformatics (CABin), ICAR-Indian Agricultural Statistics Research Institute (IASRI), New Delhi during the year 2014-2020.In the present study, genome assembly and annotation procedures have been critically reviewed to develop new approaches that may reduce the time complexity along with increase in quality output. Big Data analytics-based techniques have been used in this study to devise new approaches and compare them with the existing algorithms so as to judge the quality of the outcome in terms of genome assembly and annotation. In this chapter, a brief introduction to sequencing techniques, genome assembly procedures with their merits and demerits, annotation, and Big Data has been made along with the motivation and objectives of the study.
Publications (1)
hAssembler: A hybrid de novo genome assembly approach for large genomes.
Kairi, A., Majumdar, PG, Rao, AR
Testimonial
"The course curriculum is meticulously designed to align with current industry demands while maintaining a strong foundation in scientific research. The faculty comprises highly experienced and dedicated professionals who guide students through advanced concepts and real-world applications. Students gain hands-on exposure to cutting-edge technologies and are encouraged to engage in pioneering research projects that contribute to the latest scientific advancements."