Integrative Omics
Integrative Omics
Concept, Methodology, and Application
Mondal, Sukanta; Singh, Ram Lakhan; Gupta, Manish Kumar; Katara, Pramod
Elsevier Science Publishing Co Inc
05/2024
430
Mole
Inglês
9780443160929
Pré-lançamento - envio 15 a 20 dias após a sua edição
Types Of Omics Data: Genomics, Metagenomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics and Phenomics
Biological Omics databases and Tools
Systematic Benchmarking of Omics Computational Tools
Pharmacogenomics, Nutrigenomics, and Microbial Omics
Proteomics: Present and Future Prospectives
Foodomics: Integrated Omics for the Food and Nutrition Science
Vaccinomics
Integrative Omics Approach for Identification of Genes Associated with Disease
Integrative Omics Approaches for Identification of Biomarkers
Omics Approach for Personalized and Diagnostics Medicine
Role of Bioinformatics in Genome Analysis
Data Management in Cross Omics
Omics and Clinical Data Integration and Data Warehousing
Integrative Omics Data Mining: Challenges and Opportunities
Data Science and Analytics, Modeling, Simulation, and Issues of Omics Data Set
Emerging Trends in Translational Omics
Omics Technology for Crop Improvement
Ecology and Environmental Omics
Current Trends and Approaches in Clinical Metagenomics
Bio-molecular Networks
Machine Learning Fundamentals to Explore Complex OMICS Data
Omics Technology Policy and Society Research
Types Of Omics Data: Genomics, Metagenomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics and Phenomics
Biological Omics databases and Tools
Systematic Benchmarking of Omics Computational Tools
Pharmacogenomics, Nutrigenomics, and Microbial Omics
Proteomics: Present and Future Prospectives
Foodomics: Integrated Omics for the Food and Nutrition Science
Vaccinomics
Integrative Omics Approach for Identification of Genes Associated with Disease
Integrative Omics Approaches for Identification of Biomarkers
Omics Approach for Personalized and Diagnostics Medicine
Role of Bioinformatics in Genome Analysis
Data Management in Cross Omics
Omics and Clinical Data Integration and Data Warehousing
Integrative Omics Data Mining: Challenges and Opportunities
Data Science and Analytics, Modeling, Simulation, and Issues of Omics Data Set
Emerging Trends in Translational Omics
Omics Technology for Crop Improvement
Ecology and Environmental Omics
Current Trends and Approaches in Clinical Metagenomics
Bio-molecular Networks
Machine Learning Fundamentals to Explore Complex OMICS Data
Omics Technology Policy and Society Research