CD Genomics offers a robust portfolio of genomics solutions for microbial transcriptomics including RNA sequencing (RNA-seq), iso-seq, and metatranscriptomics. Our expert team has a strong background in microbial genomics and executes strict quality management following each procedure. We ensure comprehensive and accurate sequencing data and bioinformatics analysis reports.
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We provide prokaryotic RNA sequencing, eukaryotic RNA sequencing, viral RNA sequencing, microbial iso-seq, and metatranscriptomics for microbial transcriptomics and metatranscriptomics studies. Next-generation sequencing (NGS) and long-read sequencing have allowed us to better understand the functions of microorganisms through microbial expression profiling. NGS methods produce higher coverage and are more accurate than long-read sequencing methods. However, long-read sequencing technologies including PacBio SMRT sequencing and Oxford nanopore sequencing have become increasingly popular due to their capacities in determining full-length transcripts and in de novo assembly.
Microbial transcriptomics holds promise in uncovering novel ways to treat disease and improve human health. For example, bacterial expression profiling has identified major shifts in the expression of metabolic pathways related to disease pathogenesis in the human microbiome. Microbial transcriptomics is also important for predicting resistance to specific antibiotics, exploring host-pathogen immune interaction, and tracking disease progression.
The bioinformatics analysis pipelines are flexible to your needs. Please feel free to contact us for discussing your project.
|Read QC||Determination of per base sequence quality, removal of reads with lower quality, removal of adapter/linker, trimming of the read sequence, etc.|
|Alignment & Assembly||Read mapping, FPKM estimation, novel transcript assembly, variant calling, etc.|
|Differential Expression||Perform differential expression of reference and novel transcripts/genes with Cuffdiff 2 algorithm and DESeq2.|
|Advanced Analysis||Metabolic pathway integration analysis, gene co-expression network analysis, mRNA-sRNA co-expression network analysis, etc.|