Prokaryotic transcriptome sequencing

TECHNOLOGY SERVICES

Product introduction
Common problem
Classic case
Result display

Gene expression,
structure and function studies
Sequencing and analysis of prokaryote mRNAs. Can be used for:
Expression analysis: Calculate the expression amount of genes in the sample, identify the differentially expressed genes between samples, and perform COG classification and GO and KEGG functional enrichment analysis of differentially expressed genes;
Structural analysis: Optimize existing gene structure, UTR annotation, perform manipulator prediction, antisense transcript prediction, promoter motif analysis and variation detection.

Product features

Differences in the coverage of sequenced samples on the genome
The sequences are compared to the reference genome and plotted along the depth of the genome cover. Combined with the distribution structure of genes on chromosomes, the differences between samples can be intuitively reflected.

COG classification of differentially expressed genes
Based on COG annotation of all differentially expressed genes, COG classification statistics are performed. You can also compare the COG classification differences of differently expressed genes between different groups according to your needs.

Operon substructure predictions

Based on transcriptome data, the structure of the operon can be predicted. Genes with similar functions are generally inside a manipulator to help you resolve the mechanisms of gene regulation.

Promoter motif prediction

The promoter region has some conserved motifs that play an important role in gene transcriptional regulation. Through promoter motif prediction, genetic structure annotations can be refined and new regulatory elements can be discovered.