2. Understanding Microbiome Data Science through Big Data
3. Host-microbiome interactions through Systems Biology
4. Machine learning for Biomedicine
5. Food Microbiome in Ecology
6. Microbiome of Medicinal Plants through Omics approaches
7. Biotherapeutics Engineering using Synthetic Biology
8. Environmental Microbiome
9. Role of genome wide association studies in host genetics: Understanding Microbiome associations
10. Host-Associated Microbiome Networks in Health
11. Multiscale approach to study infectious disease through systems microbiome
12. Microbiome for personalized medicine
13. Inflammation and the Human Microbiome
14. Microbiome therapeutics
15. Next-generation machine learning for microbiome networks
16. Host-microbiome interaction and synthetic gene circuits.
Dr. Shailza Singh is serving as Scientist E and InCharge Bioinformatics and High Performance Computing Facility. Her lab focuses on systems and synthetic biology of infectious disease leishmaniasis, wherein, she is trying to integrate the action of regulatory circuits, cross talk between pathways and non-linear kinetics of biochemical processes through mathematical modeling. The hypotheses laid down through theoretical approaches are validated in in vitro and in vivo systems. Currently, she has started working in the area of Precision Oncology.
She is the recipient of several awards such as RGYI, DST- Young Scientist, INSA Bilateral Exchange, SAKURA Exchange Programme etc. She is the reviewer of various international journals of repute like Scientific Reports, PlosOne, Molecular Biosystems, Oncotarget, BMC Systems Biology, Parasites and Vectors, ACS Journal of Natural products etc. She also serves as reviewers for various national and international grants like DST, DBT, CSIR, RCUK etc. She has guided a number of MTech, MSc. and PhD students.
The book serves as an amalgamation of knowledge and principles used in the area of systems and synthetic biology, and targets inter-disciplinary research groups. The readers from diversified areas would be benefited by the valuable resources and information available in one book. Microbiome projects with efficient data handling can fuel progress in the area of microbial synthetic biology by providing a ready to use plug and play chassis. Advances in gene editing technology such as the use of tailor made synthetic transcription factors will further enhance the availability of synthetic devices to be applied in the fields of environment, agriculture and health. The different chapters of the book reviews a broad range of topics, including food microbiome in ecology, use of microbiome in personalized medicine, machine learning in biomedicine. The book also describes ways to harness and exploit the incredible amounts of genomic data.
The book is not only limited to medicine but also caters to the needs of environmentalists, biochemical engineers etc. Ii will be of interest to advanced students and researchers in life sciences, computational biology, microbiology and other inter-disciplinary areas.