Bacterial, fungal, viral, and other microbial RNA-Seq can provide unbiased strand-specific information on novel and known transcripts and help annotate and quantify microbial transcripts. Microbial isoform sequencing (Iso-Seq) is an ideal method to analyze microbial transcriptomes and gene fusion events, and characterize gene isoforms and alternative splicing events. Our microbial iso-seq service can provide full-length reads with no assembly needed, spanning entire transcript isoforms from the polyA-tail to the 5' end using PacBio Single Molecular and Real-Time (SMRT) technologies.
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Our fungal iso-seq or bacterial iso-seq can offer complete solutions for full-length transcript sequencing. It is a powerful technique using combined Illumina and PacBio SMRT sequencing platforms to identify both high and low expressors in a single bacterial or microbial population. PacBio SMRT sequencing enables the sequencing of contiguous full-length transcripts and captures each transcript's start, splice sites, and polyadenylation from a single read. Illumina short reads are further mapped to the PacBio SMRT full-length transcripts for more accurate quantification analysis and error correction.
Microbial iso-seq is becoming increasingly important for both clinical science & practice and basic research. It accurately characterizes the diverse landscape of transcript isoforms, further providing key information on the functional biology of genomes for developing potential applications of these abundant microbes in disease, medicine, agriculture, and environment, for example, predicting resistance to specific antibiotics, quantifying gene expression changes, understanding host-pathogen immune interactions, and tracking disease progression.
Our bioinformatics analysis includes transcriptome analysis, structure analysis, expression correlation and differential expression analysis, which is flexible to your needs. Please feel free to contact us to discuss your project.
|Transcriptome Assembly||Mapping to reference; de novo assembly, transcript classification|
|Transcriptome Analysis||Novel genes, novel isoforms, structural category, length distribution, spice junction, transcriptome diversity|
|Structure Analysis||Gene ontology, Swissport, lncRNA prediction, transcription factor, fusion transcript, alternative splicing, alternative polyA adenylation|
|Expression Correlation||Expression boxplot, expression heatCluster|
|Differential Expression||Go enrichment analysis, KEGG enrichment analysis|