Recent advances in high-throughput RNA sequencing have enabled tremendous growth in our understanding of bacterial transcriptomes. Differential gene expression provides the ability to respond to a constantly changing external environment in prokaryotes and understanding the effects of the bacterial gene expression can provide crucial information into cellular mechanisms including pathogenicity of the species and antibiotic resistance of the species. Studies of differential gene expression currently performed with large amounts of RNA. Agiomix offers bioinformatics service for the analysis of RNA sequencing data to understand the cellular mechanism of the species and for differential expression profiling.
Differential Expression - Eukaryotic
RNA sequencing analysis has significantly changed the transcriptomics field, as it enables an unprecedented amount of high resolution data to be acquired. However, the analysis of these data still bottleneck to the researchers. Identification of differentially expressed genes in different condition is an important in the understanding of phenotypic association. The analysis of differentially expressed genes from RNA sequencing data is remains challenging. Agiomix offers bioinformatics service for the analysis of transcriptomics data to differential gene expression profiling.
Whole Transcriptome Sequencing - Prokaryotic
Recent advances in next generation sequencing analysis of RNA sequencing data have enabled consistent development in our understanding of bacterial transcriptomes. However, analyzing bacterial transcriptomic data remains challenging due to complexity in bacterial transcriptomes, transcribed regions of genomes are much larger and complex than previously anticipated. Agiomix offers bioinformatics service new algorithms, specific to bacterial gene structures and transcriptomes, for analysis of RNA sequencing data, including aligning sequencing reads to a genome, constructing transcriptome maps, quantifying transcript abundance, testing for differential gene expression, determining operon structures and visualizing results.
Whole Transcriptome Sequencing - Eukaryotic
A transcriptomics normally constitute the quantitative measurement of thousands of genes, a desirable feature for exploration of mechanisms. Transcriptomics analysis are the techniques used to analysis RNA sequencing data, which is the sum of all of its RNA transcripts. mRNA serves as a transient intermediary molecule in the information network, whilst noncoding RNAs perform additional diverse functions. A transcriptome represents a snapshot in time of the total transcripts present in a cell. Agiomix offers bioinformatics service for the analysis of transcriptomics data to expression profiling, Identification of known or novel genes, alternative splicing events and pathway enrichment.
miRNAs play an important role in normal condition and various diseases condition. Profiling of miRNA through high throughput sequencing has become the standard procedure for biological findings and biomarker discovery. However, analyzing miRNA sequencing data is more challenging as it required bioinformatics expertise and computational resource. Agiomix offers bioinformatics service for miRNA data analysis to discover novel miRNA, miRNA abundance, finding new targets.