SureCall Software
SureCall is a research desktop application combining both novel and widely accepted opensource algorithms for end-to-end NGS data analysis from alignment to categorization and annotation of mutations, supporting Agilent Target Enrichment applications.
Receive your quote directly from the manufacturer.
SureCall is a research desktop application combining both novel and widely accepted opensource algorithms for end-to-end NGS data analysis from alignment to categorization and annotation of mutations, supporting Agilent Target Enrichment applications.
SureCall provides four different types of analysis: Single, Pair, Trio, and OneSeq CNV and Mutation analysis. The SNPPET SNP caller is an Agilent algorithm, which is optimal for detecting low-frequency variants with high sensitivity and specificity.
Features:
- From alignment of raw data to categorization and annotation of mutations in three simple steps
- Supports four different types of analysis: Single Sample, Tumor-Normal, Trio and OneSeq CNV and Mutation Analysis
- Supports variant annotation from many public sources, including NCBI, COSMIC, PubMed, ClinVar and custom annotation
- Reduces time-to-results from days to hours without complex IT infrastructure or special hardware
- Addresses the needs of clinical researchers from analysis to reporting out of their target enrichment NGS data, eliminating data analysis as a bottleneck
For Research Use Only. Not for use in diagnostic procedures.
Detecting Pathogens in Infant Formula Using Next-Generation Sequencing
Discover how next-generation sequencing is being utilized in food safety and testing systems in this exclusive interview with Dr. Koenraad Van Hoorde at Asset 2018. He is currently using NGS to detect pathogens along the food chain from farm to fork, and is particularly interested in the pathogens found in dairy products. In this video, discover how Van Hoorde is researching cronobacter, which has been found in baby foods of a dairy origin, including infant formula.
