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Comprehensive Transcriptomics and Molecular Analysis Services

Our comprehensive RNA-seq based data analysis encompasses:

Gene Expression Analysis:

  • Identification of differentially expressed genes.

  • Detection and quantification of alternative splicing events.

  • Characterization and quantification of transcript isoforms.

Gene Expression Analysis Differentially Expressed Genes Alternative Splicing Events Transcript Isoforms

Transcriptome Assembly and Annotation:

  • De novo assembly of transcriptomes from RNA-seq data.

  • Identification and characterization of long non-coding RNAs.

  • Profiling and characterization of small non-coding RNAs.

Transcriptome Assembly RNA-seq Data Long Non-coding RNAs Small Non-coding RNAs Gene Co-expression Networks

Gene Network and Pathway Analysis:

  • Construction and analysis of gene co-expression networks.

  • Investigation of spatiotemporal expression patterns.

  • Functional annotation and enrichment analysis.

patiotemporal Expression Patterns Functional Annotation Enrichment Analysis Single-Cell Transcriptomics Cellular Heterogeneit
Long-Read Sequencing Full-Length Transcripts Complex Gene Structures

Single-Cell Transcriptomics:

  • Analysis of gene expression at the single-cell level.

  • Understanding cellular heterogeneity and identifying cell types.

Long-Read Transcriptomics:

  • Analysis of long-read sequencing data.

  • Studying full-length transcripts and complex gene structures.

Long-Read Transcriptomics: Analysis of long-read sequencing data. Studying full-length transcripts and complex gene structu
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