| Literature DB >> 35819611 |
Edoardo Piombo1, Mukesh Dubey2.
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.Entities:
Keywords: Differential expression; Functional annotation; Genome assembly; High-throughput sequencing; Metabarcoding; Small RNA; Target prediction; Transcriptomics; miRNA
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Year: 2022 PMID: 35819611 DOI: 10.1007/978-1-0716-2517-0_17
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745