Beschreibung:
Dr. Debmalya Barh is currently a Visiting Full Professor (Titular, Grade-E) in Bioinformatics and Precision Health at the Department of Genetics, Ecology, and Evolution, ICB, Federal University of Minas Gerais, Brazil and honorary scientist of the Institute of Integrative Omics and Applied Biotechnology (IIOAB), India. With over 20 years of experience, he has led academic, healthcare, molecular diagnostic, and bioinformatics industry endeavors. He works with more than 400 scientists from 100+ top ranked organizations across 40+ countries and has 220+ publications and a branded editor for 10+ cutting-edge omics related reference books. He is an expert in in precision/personalized health and integrative omics-based biomarker and target discovery in infectious and complex lifestyle diseases.Dr. Vasco Azevedo is a full professor at the Department of Genetics, Ecology, and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Brazil. He is a CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico) researcher 1A, member of the Brazilian Academy of Sciences, Commander of the Order of Scientific Merit of the MCTI of the genetics advisory committee and the public policy working group on biotechnology and genetic resources of COBRG/CNPq, coordinator of the Associated International Laboratory Bactinfl from INRAE and UFMG, and vice-president of the Brazilian Association of Bioinformatics and Computational Biology. He holds a degree in veterinary medicine from the School of Veterinary Medicine of the Federal University of Bahia (1986), a master's degree (1989), a doctorate (1993) in the genetics of microorganisms from the Institut National Agronomique Paris Grignon, and a doctorate in bioinformatics from UFMG (2017). He did his postdoctorate work with the Department of Microbiology, School of Medicine, University of Pennsylvania, United States (1994). He was a professor at the Institute of Biomedical Sciences of the University of São Paulo (2004). He is an expert in genetics and bioinformatics and his work mainly focuses on genomics, transcriptomics, proteomics, metabolomics, vaccine development, diagnostics, and the development of next generation probiotics. He has more than 600 scientific publications, 14 books, and 60 chapters as well as 12 patents.
Single-Cell Omics: Volume 1: Technological Advances and Applications provides the latest technological developments and applications of single-cell technologies in the field of biomedicine. In the current era of precision medicine, the single-cell omics technology is highly promising due to its potential in diagnosis, prognosis and therapeutics. Sections in the book cover single-cell omics research and applications, diverse technologies applied in the topic, such as pangenomics, metabolomics, and multi-omics of single cells, data analysis, and several applications of single-cell omics within the biomedical field, for example in cancer, metabolic and neuro diseases, immunology, pharmacogenomics, personalized medicine and reproductive health.
This book is a valuable source for bioinformaticians, molecular diagnostic researchers, clinicians and members of the biomedical field who are interested in understanding more about single-cell omics and its potential for research and diagnosis.
Section I Overview of Single-Cell Omics1. Single-Cell Omics: An Overview2. Recent Progress in Single-Cell Sequencing3. Cellular Heterogeneity and Single-Cell Omics4. Single-Cell Omics: Cellular Functions5. Single-Cell Omics: Deciphering Tumor Clonal Architecture
Section II Omics Technologies in Single-Cell6. An Overview of Single-Cell Isolation Techniques7. Microfluidic Techniques for Single-Cell Culture8. Single-Cell Omics in Noninvasive Diagnosis and Testing-Surface-Enhanced Raman Spectroscopy-Based Approach9. Single-Cell Genomics: Technology and Applications10. Single-Cell Metagenomics11. Single-Cell Epigenomics: Technology and Applications12. Single-Cell Transcriptomics: Technology and Applications13. Single-Cell Transcriptomics and Proteomics of Skeletal Muscle: Technology and Applications14. Single-Cell Proteomics: Technology and Applications15. Single-Cell Metabolomics: Technology and Applications16. Single-Cell Phenomics in Budding Yeast: Technologies and Applications17. Robotics in Single-Cell Omics18. Single-Cell Editing: The CRISPR/Cas9 and Applications
Section III Data Analysis in Single-Cell Omics19. Data Analysis in Single-Cell RNA-Seq20. Systems-Level Understanding of Single-Cell Omics
