Transcriptomics is the study of the 'transcriptome,' a term which is use to signify a whole set of transcripts. The term transcriptome is now widely understood to mean the complete set of all the molecules of ribonucleic acid (RNA) expressed in a given entity, such as a cell, tissue, or organism. This includes their levels of transcription and expression, functions, places, trafficking, and degradation. It also contains the transcript structures and their parent genes for starting sites, 5′ and 3′ end sequences, splicing patterns and post transcription modifications. Modern transcriptomics uses high-throughput approaches to examine the expression of several transcripts in various physiological or pathological environments, and this extends our knowledge of the transcriptome-phenotype relationships through a broad variety of living organisms rapidly. Other RNAs can be regulated by long and short -coding RNA genes, defined by a heuristic length cut off from 200 bases. MiRNAs are a class of RNA genes recently discovered that control several other protein-coding genes.
Research Article: Molecular Biology: Open Access
Research Article: Molecular Biology: Open Access
Review Article: Molecular Biology: Open Access
Review Article: Molecular Biology: Open Access
Research Article: Molecular Biology: Open Access
Research Article: Molecular Biology: Open Access
Research Article: Molecular Biology: Open Access
Research Article: Molecular Biology: Open Access
Editorial: Molecular Biology: Open Access
Editorial: Molecular Biology: Open Access
Scientific Tracks Abstracts: Molecular and Genetic Medicine
Scientific Tracks Abstracts: Molecular and Genetic Medicine
Posters: Molecular and Genetic Medicine
Posters: Molecular and Genetic Medicine
Scientific Tracks Abstracts: Journal of Tissue Science and Engineering
Scientific Tracks Abstracts: Journal of Tissue Science and Engineering
Posters & Accepted Abstracts: Metabolomics:Open Access
Posters & Accepted Abstracts: Metabolomics:Open Access
Posters & Accepted Abstracts: Human Genetics & Embryology
Posters & Accepted Abstracts: Human Genetics & Embryology
Molecular Biology: Open Access received 607 citations as per Google Scholar report