Informatics for PacBio Long Reads

Informatics for PacBio Long Reads

  • April 2019
  • Advances in Experimental Medicine and Biology
  • DOI: 
  • 10.1007/978-981-13-6037-4_8
  • In book: Single Molecule and Single Cell Sequencing

In this article, we review the development of a wide variety of bioinformatics software implementing state-of-the-art algorithms since the introduction of SMRT sequencing technology into the field. We focus on the three major categories of development: read mapping (aligning to reference genomes), de novo assembly, and detection of structural variants. The long SMRT reads benefit all the applications, but they are achievable only through considering the nature of the long reads technology properly.

在這篇文章中,我們回顧了自SMRT測序技術引入該領域以來,實現最先進算法的各種生物信息學軟件的發展。

我們主要關注三大類開發:讀映射(與參考基因組對齊)、從頭組裝和結構變體檢測。

長讀SMRT有益於所有的應用程序,但是它們只有通過適當地考慮長讀技術的性質才能實現。

發表評論
所有評論
還沒有人評論,想成為第一個評論的人麼? 請在上方評論欄輸入並且點擊發布.
相關文章