All Your Questions Answered About NGS Cloud!
Yes, CNV (Copy Number Variation) analysis can be performed using NGS Cloud, even with a single sample. This analysis allows the detection of copy number variations in your genetic material, helping to identify potential markers of genetic disorders or conditions like cancer. The results are provided in user-friendly, easily interpretable reports.
You can upload and analyze data in FastQ, BAM, and VCF formats on the NGS Cloud platform. These formats are commonly used in genetic analyses. FastQ files contain raw sequencing data, BAM files store alignment information, and VCF files include genetic variations (such as mutations). These data types can be easily uploaded to perform comprehensive analyses on NGS Cloud.
NGS Cloud allows a wide range of genomic and RNA-based analyses. In addition to genomic analyses such as rare diseases, hereditary and somatic cancer, and carrier screening, transcriptome RNA and small RNA analyses can also be performed. These analyses provide in-depth insights at the genetic and molecular levels, enabling the identification of potential disease risks and valuable data about biological processes.
No, NGS Cloud is not limited to human genomics. In addition to humans, genomic analyses can be performed on eukaryotic organisms such as animals and plants, as well as prokaryotic organisms like bacteria and archaea. This flexibility makes NGS Cloud a powerful tool for genetic and biological research across various species.
Uploading data to NGS Cloud is straightforward. You can easily upload your data in FastQ, BAM, and VCF formats, and perform analyses on these datasets. The platform’s user-friendly interface makes managing your uploaded data seamless.
NGS Cloud ensures the security of your data through advanced encryption methods. Your data is stored in an encrypted format and can only be accessed by authorized users. Additionally, regular data backups are performed to ensure that your data is always safe.
NGS Cloud offers fast analyses due to its robust infrastructure. The analysis time may vary depending on the size and type of data, but the platform generally provides quick results due to its high computational power.
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