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Identification of novel miRNAsWith the use of technologies such as miRNA sequencing, we can now quickly and accurately identify new miRNAs. Identification of miRNA target genesThe primary application of degradome sequencing is the detection of miRNA splice genes. Analysis of degradome sequencing data reveals that some pri-miRNAs are also likely to be cleaved and degraded. The following are a few commonly used software packages for analyzing degradome sequencing data:1. PAREsnip: for the prediction of sRNA target genes based on previous high-throughput sequencing and degradome sequencing data5.

What is dual RNA sequencing? Understanding how pathogen induces disease requires the knowledge on which genes are expressed and how they are regulated during infection. With regard to the earlier part of the process, the corresponding reference genome is needed for the following bioinformatics analyses. The sequencing and analyses of the interested RNAs from bacterial pathogens and infected cells can be followed at the same time, while the mixed sequencing reads are assigned to their originating genomes. It can facilitate separating research into multiple directions including but not limited to:·        Gene expression level variations of host and pathogen·        Studying infection-related sRNA, mitochondrial RNA, etc.

Identification of novel miRNAsWith the use of technologies such as miRNA sequencing, we can now quickly and accurately identify new miRNAs. Identification of miRNA target genesThe primary application of degradome sequencing is the detection of miRNA splice genes. Analysis of degradome sequencing data reveals that some pri-miRNAs are also likely to be cleaved and degraded. The following are a few commonly used software packages for analyzing degradome sequencing data:1. PAREsnip: for the prediction of sRNA target genes based on previous high-throughput sequencing and degradome sequencing data5.