Data Analysis Services
NGS data analysis
Next-generation sequencing (NGS) data analysis involves quality control to filter and trim raw sequences, alignment or assembly to map sequences to a reference genome or construct a genome, and variant calling to identify genetic differences, such as mutations or polymorphisms, followed by downstream analysis like annotation and interpretation. Our process encompasses data quality assessment, thorough analysis, result interpretation, and presenting findings to clients in a clear format. It may also involve algorithm development for specific projects. Below is a list of various data analyses offered at Bioinfocloud.

- RNAseq Analysis
- ChIP-Seq Analysis
- Exome Data Analysis
- SmallRNA-Seq Analysis
- Whole Genome Re-sequencing
- 16S-rRNA Metagenomics Analysis
Customized data analysis
At Bioinfocloud, we offer tailored bioinformatic and agricultural data analysis services to meet specific needs. Our expertise includes SNP data analysis to identify genetic variations, diversity analysis to understand genetic diversity within populations, comprehensive bioinformatics analysis for a wide range of biological data, and computational biological analysis to model and interpret complex biological systems. Whether you require detailed genetic insights or advanced computational models, our team is equipped to deliver precise and actionable results.
Agriculture Data analysis

Agriculture Data analysis
At Bioinfocloud, we offer tailored bioinformatic and agricultural data analysis services to meet specific needs. Our expertise includes SNP data analysis to identify genetic variations, diversity analysis to understand genetic diversity within populations, comprehensive bioinformatics analysis for a wide range of biological data, and computational biological analysis to model and interpret complex biological systems. Whether you require detailed genetic insights or advanced computational models, our team is equipped to deliver precise and actionable results.
1.
QTL mapping
2.
SNP data analysis
3.
Genome-wide association studies (GWAS)
4.
Haplotype based association studies
5.
Field data
1.
QTL mapping
2.
SNP data analysis
3.
Genome-wide association studies (GWAS)
4.
Haplotype based association studies
5.
Field data