Computational Analysis of HTS Data and Its Application in Plant Pathology.
Methods Mol Biol
; 2536: 275-307, 2022.
Article
in En
| MEDLINE
| ID: mdl-35819611
ABSTRACT
High-throughput sequencing is a basic tool of biological research, and it is extensively used in plant pathology projects. Here, we describe how to handle data coming from a variety of sequencing experiments, focusing on the analysis of Illumina reads. We describe how to perform genome assembly and annotation with DNA reads, correctly analyze RNA-seq data to discover differentially expressed genes, handle amplicon sequencing data from microbial communities, and utilize small RNA sequencing data to predict miRNA sequences and their putative targets.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
MicroRNAs
/
Plant Pathology
Language:
En
Journal:
Methods Mol Biol
Journal subject:
BIOLOGIA MOLECULAR
Year:
2022
Document type:
Article
Affiliation country:
Sweden