Our AI Platform uses a Data Science (DS)
approach.
In DS
problems from any field are reduced to only three:
• Classification: Diagnosis (Cancer vs. Normal)
• Regression: Survival rate
• Clustering: Patient stratification
We also offer Bioinformatics services:
1. RNA-seq data analysis: This pipeline includes steps for
quality control, adapter trimming, alignment, variant calling, transcriptome reconstruction and post-alignment quantitation.
2. Small RNA-seq data analysis:
Used to discover novel miRNAs and other small noncoding RNAs, and examine the differential expression of
all small RNAs in the sample.
3. Variants (SNP
and Indels) analysis: After alignment of the reads onto a reference genome, it is possible to detect base modifications (SNP or small indels) between the library and the reference. The
variant list is then filtered according to specific thresholds in order to retrieve variants of interest.
