Afann: bias adjustment for alignment-free sequence comparison based on sequencing data using neural network regression

Afann: bias adjustment for alignment-free sequence comparison based on sequencing data using neural network regression

Abstract Alignment-free methods, more time and memory efficient than alignment-based methods, have been widely used for comparing genome sequences or raw sequencing samples without assembly. However, in this study, we show that alignment-free dissimilarity calculated based on sequencing samples can...

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Bibliographic Details
Main Authors: Kujin Tang, Jie Ren, Fengzhu Sun
Format: Article
Language:English
Published: BMC 2019-12-01
Series:Genome Biology
Subjects:
Alignment-free
Neural network regression
kmer
d 2 ∗ , d 2 s $d_{2}^{*}, \protect d_{2}^{s}$
NGS
Bias adjustment
Online Access:https://doi.org/10.1186/s13059-019-1872-3

Internet

https://doi.org/10.1186/s13059-019-1872-3

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