DATA ANALYSIS: Transcriptomics
WE PROVIDE COMPREHENSIVE DATA ANALYSIS SERVICES FOR NGS SEQUENCING DATA. HERE ARE THE CRITICAL COMPONENTS OF OUR TRANSCRIPTOMICS (RNA-SEQ) DATA ANALYSIS SERVICE:
Data Pre-processing
Quality Control (QC):
Assess the quality of raw sequencing data to identify and remove low-quality reads and sequences to give accurate and reliable gene expression data.
Data Normalization:
Normalize data to account for differences in sequencing depth and other experimental biases.
Transcript Quantification:
Estimate transcript abundances using reference genomes or transcriptomes.
Differential Expression Analysis:
Identify genes that are differentially expressed between experimental conditions or groups.
Statistical Testing:
Using statistical methods like DESeq2, edgeR, or limma to determine the significance of observed gene expression differences.
Visualization:
To visualize differential expression results, generate volcano plots, heatmaps, and Venn diagrams.
Enrichment Analysis:
Determine which biological pathways or gene ontology terms are overrepresented in differentially expressed genes (Gene set enrichment or Fisher extract test).
Functional Annotation:
Annotate genes and transcripts to understand their biological roles using Blast2GO pipeline.
Clustering and Visualization
Cluster Analysis:
Group genes or samples based on expression patterns.
Visualization:
Create visual representations of gene expression data using techniques like PCA, t-SNE, or UMAP.
Gene Regulatory Network Analysis (upon request and additional charges):
Identify regulatory relationships between genes. Construct and visualize gene regulatory networks.
Data Integration (upon special request and additional charges):
Integrate transcriptomics data with other omics data (e.g., proteomics, metabolomics) for a comprehensive view of cellular processes.
Custom Analysis (additional charges applied):
Customized analysis to answer specific research questions or experimental designs.
Reporting and Interpretation:
Generate comprehensive reports summarizing the analysis results. Assist in the preliminary Interpretation of the data. However, the
biological significance of findings and providing insights into the underlying biology is up to the customer.
Data Storage and Sharing:
We securely store (for a limited time for free) and manage large transcriptomics datasets.
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