TRANSCRIPTOME ANALYSIS

Transcriptome analysis is a pivotal component of our bioinformatics services at GBB, focusing on the study of RNA molecules within a biological sample. Our expertise in transcriptome analysis enables researchers to gain comprehensive insights into gene expression, alternative splicing, and the dynamic regulation of RNA molecules. Here's an in-depth exploration of our transcriptome analysis services:

GBB excels in processing raw RNA-Seq data, employing sophisticated bioinformatics pipelines to ensure accuracy and reliability. Our team meticulously handles data pre-processing, including quality control, adapter trimming, and alignment to reference genomes, laying the foundation for downstream transcriptome analyses.

GBB offers robust solutions for differential gene expression analysis, enabling researchers to identify genes that are differentially expressed under various conditions or between different biological samples. Our statistical methods and bioinformatics tools provide a comprehensive understanding of gene regulation, facilitating the identification of key players in biological processes.

Understanding alternative splicing is crucial for unraveling the complexity of gene expression. GBB's transcriptome analysis services include the identification and characterization of alternative splicing events. We provide insights into isoform diversity, helping researchers discern the functional implications of different splice variants within a gene.

GBB facilitates functional interpretation of transcriptomic data through enrichment analysis. Our team identifies overrepresented biological processes, pathways, and molecular functions associated with differentially expressed genes. This analysis provides a broader context for understanding the biological relevance of transcriptional changes observed in the data.

GBB's transcriptome analysis extends to the exploration of long non-coding RNAs (lncRNAs). We provide specialized services for the identification, characterization, and functional annotation of lncRNAs. Understanding the roles of lncRNAs contributes to a more comprehensive understanding of gene regulation and cellular processes.

GBB employs co-expression network analysis to unravel the intricate relationships between genes based on their expression patterns. By identifying modules of co-expressed genes, we uncover potential regulatory networks and key players in biological pathways, offering a systems-level perspective on transcriptomic data.

For studies at the single-cell level, GBB offers specialized single-cell RNA-Seq analysis. This service enables researchers to explore the heterogeneity within cell populations, identify rare cell types, and uncover dynamic changes in gene expression at the single-cell resolution.

GBB places a strong emphasis on effective data visualization and interpretation. We utilize advanced visualization tools to present transcriptomic data in a clear and insightful manner. Our team assists researchers in interpreting complex expression profiles, enabling a deeper understanding of the biological implications of transcriptomic changes.