Bioinformatics Tools and Methods to Analyze Single-Cell RNA Sequencing Data


Authors : Sudheer Menon; Vincent Chi Hang Lui; Paul Kwong Hang Tam

Volume/Issue : Volume 6 - 2021, Issue 8 - August

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/2Wrvy99

The rapid development of next generation sequencing (NGS) tool and technologies over the past few years, valuable insights have been gained into the complex and diverse biological systems with diverse range from microbial communities to cancerous genome. The NGS base technologies based of genomics, epigenomics and transcriptomics, are preoperationally concentrated on individual cells characterization. As an example, ScRNA sequencing can sort out complex and rare cellular populations, revealing the gene regulatory inter and intra relationships, and trace the progression of individual cell lineages during cell development. Researchers have previously undiscovered molecular details in single-nuclei and single-cell sequencing experiments. Since recent years, analytical approaches and sequencing methods have increased rapidly. In this review, our prime focus will be on challenges related to single cell isolation (SCI) and library preparation, analysis of ScRNA seq data by computational pipelines. These sequencing technologies will be greatly facilitating molecular biological improvement and bioinformatics due to the availability of bioinformatics tools

Keywords : Single-cell RNA sequencing, alternative splicing, Next generation sequencing

CALL FOR PAPERS


Paper Submission Last Date
31 - May - 2022

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe