Opportunities and challenges in long-read sequencing data analysis

Long-read technologies are overcoming early limitations in accuracy and throughput, broadening their application domains in genomics. Dedicated analysis tools that take into account the characteristics of long-read data are thus required, but the fast pace of development of such tools can be overwhe...

Full description

Saved in:
Bibliographic Details
Published in:Genome Biology 2020-02, Vol.21 (1), p.30-30, Article 30
Main Authors: Amarasinghe, Shanika L., Su, Shian, Dong, Xueyi, Zappia, Luke, Ritchie, Matthew E., Gouil, Quentin
Format: Article
Language:English
Subjects:
Accuracy
Animal Genetics and Genomics
Animals
Bioinformatics
Biomedical and Life Sciences
Data analysis
Data Science - methods
Data Science - standards
Deoxyribonucleic acid
DNA
DNA methylation
Error correction & detection
Evolutionary Biology
genome
genomics
Genomics - methods
Genomics - standards
Human Genetics
Humans
landscapes
Life Sciences
Long-read sequencing
Microbial Genetics and Genomics
Nanopore Sequencing - methods
Nanopore Sequencing - standards
Neural networks
Oxford Nanopore
PacBio
Plant Genetics and Genomics
Remakes & sequels
Review
Reviews
transcriptomics
Whole Genome Sequencing - methods
Whole Genome Sequencing - standards
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!