Transcriptomics and Proteomics
The transcriptomics refers to study of transcriptome, which is a dynamic levels of RNA transcripts vary during response to certain conditions in the cell or in different developmental stages of the cell. RNA- sequencing or Transcriptome sequencing is a next-generation sequencing (NGS)-based approach for RNA profiling and analysis by measuring the transcriptomic profiles through microarrays, RNA-seq etc... Proteomics refers to study of large-scale proteomes, which is the set of proteins produced in an organism or biological environment. One of the important objectives of Systems biology is to understand the regulation of cell behaviour by measuring the proteomic profiles through techniques such as gel electrophoresis and mass spectrometry.
- RNA-seq technology
- Next generation sequencing (NGS) technologies
- Gene Expression Profiling and Epigenetics
- Transcriptome and Proteome analysis
- RNAi gene silencing technology
Related Conference of Transcriptomics and Proteomics
16th International Conference on Tissue Science and Regenerative Medicine
15th International Conference on Biofuels and Bioenergy
Transcriptomics and Proteomics Conference Speakers
Recommended Sessions
- Analytical techniques in Metabolomics
- Computational Methodologies
- Lipidomics
- Mass spectroscopy (MS) based metabolomics
- Metabolic Modelling and Synthetic Biology
- Metabolomic in the field of Paediatric Medicine
- Metabolomics
- Metabolomics Applications
- Metabolomics Approaches
- Metabolomics in Detection of Chemotoxicity
- Metabolomics in Discovering Biomarkers
- Metabolomics in Drug Discovery
- Metabolomics in Metabolic Engineering
- Metabolomics in Nutrition Research
- Metabolomics in Pharmaceutics
- Metabolomics in Precision Medicine / Personalised medicine
- Metabolomics in Systems Biology
- Metabolomics in the field of Oncology / Cancer Metabolomics
- Metabolomics in Various Diseases
- NMR-based metabolomics
- Pharmaco-metabolomics
- Plant and Environmental Metabolomics
- Systems Biology
- Transcriptomics and Proteomics
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