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Retrieve Maximum from Big Bio Data 

Examples of Reports

Example 1 - Small Dataset:

5 samples – 2 from treated, 3 from non-treated tissue 

Estimated cost of work: $1270

Initial report - in 3 days, Project Term (open to consultations) - 1 month

Analysis Method:

Due to the small number of samples, which prevents statistically significant results, a pairwise comparison of all sample pairs was conducted. Sample-vs-sample scatterplots are shown in Fig. 1.

Quality Estimation:

  • Similarity:

    • Samples 1 and 2 show high similarity.

    • Samples 3 and 5 also show high similarity.

    • Sample 4 is similar to samples 3 and 5 but has an additional cluster of highly expressed genes.

  • Interpretation:

    • This additional cluster suggests that sample 4 is similar to samples 3 and 5, but with some cells of another type.

    • Gene ontology analysis of the additional cluster reveals muscle-related genes (see Table 1), indicating possible muscle tissue contamination in sample 4.

Differences Between Treated and Non-Treated Tissues:

  • Comparative Analysis:

    • Treated samples (1 and 2) show upregulation of genes related to the extracellular matrix.

    • Treated samples show downregulation of genes related to the immune response (see Tables 2 and 3).

Example 2 - Big Dataset:

27 samples – 17 from sick (9 treated/8 non-treated), 10 from healthy tissue 

Estimated cost of work: $3420

Initial report - in 5 days, Project Term (open to consultations) - 2 months

Analysis Method:

Differentially expressed genes are detected as having high fold change (>2) and low p-value (<0.003) using 2-sample t-test. 

Quality Estimation:

  • Quality control by calculating similarity index between samples has not revealed unexpected discrepancies (high similarity within each group, low similarity between groups). 

Differences Between Treated and Non-Treated Tissues:

  • Comparative Analysis:

    • Group 2 vs group 3 comparison reveals up-regulation of genes related to immune process,  which are also upregulated in group 1 vs group 3 but  less significantly (Fig. 1a and 1b, list of genes in table 1).

    • Extracellular-process-related genes are down-regulated in group 1 vs group 2 (Fig 2a, table 2).

    • Violin plots (Fig. 2a) visualize expression of one gene from both gene clusters -"immune" and "extracellular process" related clusters. Any other genes can be plotted in similar way on demand.

    • Based on this analysis and group labels it can be concluded that investigated sickness up-regulated immune-related genes. Treatment diminishes them toward healthy state, however, it also down-regulates expression of extracellular-process-related genes.

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