Literature DB >> 26443614

A Comparison of Base-calling Algorithms for Illumina Sequencing Technology.

Ashley Cacho, Ekaterina Smirnova, Snehalata Huzurbazar, Xinping Cui.   

Abstract

Recent advances in next-generation sequencing technology have yielded increasing cost-effectiveness and higher throughput produced per run, in turn, greatly influencing the analysis of DNA sequences. Among the various sequencing technologies, Illumina is by far the most widely used platform. However, the Illumina sequencing platform suffers from several imperfections that can be attributed to the chemical processes inherent to the sequencing-by-synthesis technology. With the enormous amounts of reads produced, statistical methodologies and computationally efficient algorithms are required to improve the accuracy and speed of base-calling. Over the past few years, several papers have proposed methods to model the various imperfections, giving rise to accurate and/or efficient base-calling algorithms. In this article, we provide a comprehensive comparison of the performance of recently developed base-callers and we present a general statistical model that unifies a large majority of these base-callers.
© The Author 2015. Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

Keywords:  Illumina; base-calling; next-generation sequencing

Mesh:

Year:  2015        PMID: 26443614     DOI: 10.1093/bib/bbv088

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  4 in total

1.  PERFect: PERmutation Filtering test for microbiome data.

Authors:  Ekaterina Smirnova; Snehalata Huzurbazar; Farhad Jafari
Journal:  Biostatistics       Date:  2019-10-01       Impact factor: 5.899

2.  Optocoder: computational decoding of spatially indexed bead arrays.

Authors:  Enes Senel; Nikolaus Rajewsky; Nikos Karaiskos
Journal:  NAR Genom Bioinform       Date:  2022-06-07

Review 3.  From molecules to genomic variations: Accelerating genome analysis via intelligent algorithms and architectures.

Authors:  Mohammed Alser; Joel Lindegger; Can Firtina; Nour Almadhoun; Haiyu Mao; Gagandeep Singh; Juan Gomez-Luna; Onur Mutlu
Journal:  Comput Struct Biotechnol J       Date:  2022-08-18       Impact factor: 6.155

Review 4.  Bioinformatics and Computational Tools for Next-Generation Sequencing Analysis in Clinical Genetics.

Authors:  Rute Pereira; Jorge Oliveira; Mário Sousa
Journal:  J Clin Med       Date:  2020-01-03       Impact factor: 4.241

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.