Literature DB >> 33745759

Next-generation sequencing technologies: An overview.

Taishan Hu1, Nilesh Chitnis2, Dimitri Monos3, Anh Dinh4.   

Abstract

Since the days of Sanger sequencing, next-generation sequencing technologies have significantly evolved to provide increased data output, efficiencies, and applications. These next generations of technologies can be categorized based on read length. This review provides an overview of these technologies as two paradigms: short-read, or "second-generation," technologies, and long-read, or "third-generation," technologies. Herein, short-read sequencing approaches are represented by the most prevalent technologies, Illumina and Ion Torrent, and long-read sequencing approaches are represented by Pacific Biosciences and Oxford Nanopore technologies. All technologies are reviewed along with reported advantages and disadvantages. Until recently, short-read sequencing was thought to provide high accuracy limited by read-length, while long-read technologies afforded much longer read-lengths at the expense of accuracy. Emerging developments for third-generation technologies hold promise for the next wave of sequencing evolution, with the co-existence of longer read lengths and high accuracy.
Copyright © 2021 American Society for Histocompatibility and Immunogenetics. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Long-read sequencing; Next-generation sequencing; Short-read sequencing

Mesh:

Substances:

Year:  2021        PMID: 33745759     DOI: 10.1016/j.humimm.2021.02.012

Source DB:  PubMed          Journal:  Hum Immunol        ISSN: 0198-8859            Impact factor:   2.850


  32 in total

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Authors:  Claudio Montenegro; Lívia do Vale Martins; Fernanda de Oliveira Bustamante; Ana Christina Brasileiro-Vidal; Andrea Pedrosa-Harand
Journal:  Chromosome Res       Date:  2022-06-18       Impact factor: 5.239

Review 2.  Insights into microbial diversity on plastisphere by multi-omics.

Authors:  Neha Tiwari; Megha Bansal; Deenan Santhiya; Jai Gopal Sharma
Journal:  Arch Microbiol       Date:  2022-03-22       Impact factor: 2.552

3.  Metagenomic Pathogen Sequencing in Resource-Scarce Settings: Lessons Learned and the Road Ahead.

Authors:  Christina Yek; Andrea R Pacheco; Manu Vanaerschot; Jennifer A Bohl; Elizabeth Fahsbender; Andrés Aranda-Díaz; Sreyngim Lay; Sophana Chea; Meng Heng Oum; Chanthap Lon; Cristina M Tato; Jessica E Manning
Journal:  Front Epidemiol       Date:  2022-08-15

Review 4.  3R measures in facilities for the production of genetically modified rodents.

Authors:  Branko Zevnik; Boris Jerchow; Thorsten Buch
Journal:  Lab Anim (NY)       Date:  2022-05-31       Impact factor: 9.667

5.  Ultra-rapid somatic variant detection via real-time targeted amplicon sequencing.

Authors:  Jack Wadden; Brandon S Newell; Joshua Bugbee; Vishal John; Amy K Bruzek; Robert P Dickson; Carl Koschmann; David Blaauw; Satish Narayanasamy; Reetuparna Das
Journal:  Commun Biol       Date:  2022-07-15

Review 6.  Advancements in Genomic and Behavioral Neuroscience Analysis for the Study of Normal and Pathological Brain Function.

Authors:  Annalisa M Baratta; Adam J Brandner; Sonja L Plasil; Rachel C Rice; Sean P Farris
Journal:  Front Mol Neurosci       Date:  2022-06-23       Impact factor: 6.261

7.  Fungal Diversity in Barley Under Different Storage Conditions.

Authors:  Dongmei Cao; Yuhao Lou; Xiujie Jiang; Dongjie Zhang; Junmei Liu
Journal:  Front Microbiol       Date:  2022-06-22       Impact factor: 6.064

Review 8.  Recent Advances in the Use of Molecular Methods for the Diagnosis of Bacterial Infections.

Authors:  Elisabetta Gerace; Giuseppe Mancuso; Angelina Midiri; Stefano Poidomani; Sebastiana Zummo; Carmelo Biondo
Journal:  Pathogens       Date:  2022-06-08

9.  High-Resolution Mapping of Barley mild mosaic virus Resistance Gene rym15.

Authors:  Yaping Wang; Antje Habekuß; Murukarthick Jayakodi; Martin Mascher; Rod J Snowdon; Andreas Stahl; Janina Fuß; Frank Ordon; Dragan Perovic
Journal:  Front Plant Sci       Date:  2022-06-02       Impact factor: 6.627

Review 10.  Paving the Way: Contributions of Big Data to Apicomplexan and Kinetoplastid Research.

Authors:  Robyn S Kent; Emma M Briggs; Beatrice L Colon; Catalina Alvarez; Sara Silva Pereira; Mariana De Niz
Journal:  Front Cell Infect Microbiol       Date:  2022-06-06       Impact factor: 6.073

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