Next-generation sequencing (NGS), massively parallel or deep sequencing is a related term describing DNA sequencing technology that has revolutionized genome research. The development of sequencing-based chromatin analysis technology allows current researchers to experimentally measure the properties of chromatin. NGS is the choice for large-scale genome and transcriptome sequencing. This is because the high-throughput sequencing data generated and output by each instrument is in the gigabyte range, and the cost is compared with the traditional Sanger first-generation sequencing method.
The difference between NGS technology and Sanger method is that they provide large-scale parallel analysis, which can provide ultra-high throughput of multiple samples at a greatly reduced cost. Millions to billions of DNA nucleotides can be sequenced in parallel, which significantly increases yields and minimizes the need for fragment cloning methods used in Sanger Sequencing.
Title : AI-integrated high-throughput tissue-chip for space-based biomanufacturing applications
Kunal Mitra, Florida Tech, United States
Title : The era of artificial intelligence (AI) and its use in regenerative medicine
Vasiliki E Kalodimou, European University-Cyprus Ltd, Cyprus
Title : Advanced 3D tissue models: Pioneering tools for investigating health and disease
Lucie Bacakova, Institute of Physiology of the Czech Academy of Sciences, Czech Republic
Title : The role of gingival fibroblasts in periodontal diseases and regeneration
Katarzyna Gawron, Medical University of Silesia in Katowice, Poland
Title : Channel fidelity limits in in-wound hydrogel printing for cartilage regeneration
Evgenia Papadimitriou, AVT.CVT, RWTH University, Germany
Title : Role of textile materials in tissue engineering and regenerative medicine
Gokarneshan Narayanan, SSM College of Engineering (Formerly), India