ADVANCED ANALYTICAL TECHNIQUES FOR NEXT GENERATION SEQUENCING: A NARRATIVE REVIEW

Authors

  • Tanveer Tara Sarhad University of Science and Information Technology Peshawar https://orcid.org/0000-0001-9385-9751
  • Kamran Kamran Sarhad University of Science and Information Technology Peshawar
  • Zakir Ullah Sarhad University of Science and Information Technology Peshawar
  • Sajid Aziz Khyber Medical University Peshawar
  • Asif Mehmood Sarhad University of Science and Information Technology Peshawar

Keywords:

NGS, Sangers’ sequencing, Illumina, Ion torrent, PacBio

Abstract

The objective of current study was to provide historical perspective of DNA sequencing with focus on newer developments especially the sequencing techniques under the umbrella of next generation sequencing (NGS). Several methods of sequencing were compared based on  time consuming, complexity of process, cost effectiveness, reading of base pairs per seconds/minutes, rate of errors, high quality and accuracy.Comparison of various sequencing techniques including sanger’s sequencing, next generation sequencing and third generation sequencing were discussed in current review. Other sub-sequencing techniques of next generation sequencing were also described, in which Illumina sequencing was determined good range short read sequencing method with 300bp. 454 and ION torrent techniques was  comparatively high read lengths. GeneReader is fully automated from sample preparation to analysis of sample. On the side, PacBio was less time consuming in long read sequencing techniques. This paper provides enhanced understanding and judgmental comparison among different variants of sequencing technologies.

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Published

2019-12-31

How to Cite

Tara, T., Kamran, K., Ullah, Z., Aziz, S., & Mehmood, A. (2019). ADVANCED ANALYTICAL TECHNIQUES FOR NEXT GENERATION SEQUENCING: A NARRATIVE REVIEW. Annals of Allied Health Sciences, 5(2), 3–6. Retrieved from https://aahs.kmu.edu.pk/index.php/aahs/article/view/88

Issue

Vol. 5 No. 2 (2019): Annals of Allied Health Sciences

Section

Articles

License

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.