GENOMIC DATA TRANSFER

Data transfer is a very essential and sensitive theme for a successful bioinformatical output. NGS Cloud has servers mainly in Turkey and several different countries or local instances depending on the customer’s need. We offer three standard data transfer options for FASTQ, BAM and VCF file formats:

1. Upload Local Files (directly from platform.ngscloud.com)
2. Server to Server Transfer (directly from platform.ngscloud.com)
3. PECULIAR (PairEnd Client UpLoad & Integrated Analysis of Raw data) (You can download the installation package from platform.ngscloud.com)

PECULIAR, a client file upload tool is designed to perform data transfer effortlessly without being affected by internet connection problems and not to jeopardise data security (1) when compared with other methods such as sending by cargo or mailing.

You can access different options from a secure and private area after logging in with your username and password. You can upload your files by dragging them from your local computer, or you can upload them by entering the URL link of the file location. Moreover, Dropbox is also an alternative method. 

Theoretically, you can find the estimated data sizes (2) for whole exome/genome tests (Table 1).

Table 1. Estimated size of several different data (2)

The duration of the data transfer strictly depends on the properties of the internet connection. The upload speed of the internet service provider is the most crucial factor that determines how long an upload takes time.

To give an idea, you can find the estimated upload times of WES and WGS data in Table 1 according to different upload speeds (Table 2).

Table 2. Data upload times according to different upload speeds (3)

In conclusion, you can execute your genetic data transfer safely and comfortably with the unique solutions of Pairend, a member of GA4GH (Global Alliance for Genomics & Health), who closely follows international standards and good practices.

References:

1. Sorani, M. D., Yue, J. K., Sharma, S., Manley, G. T., Ferguson, A. R., & TRACK TBI Investigators (2015). Genetic data sharing and privacy. Neuroinformatics, 13(1), 1–6. https://doi.org/10.1007/s12021-014-9248-z
2. https://www.illumina.com/content/dam/illumina-marketing/documents/techniques/wgs-wes-infographic-web.pdf (Son Erişim Tarihi: 13.12.2020)
3. https://www.omnicalculator.com/other/data-transfer (Son Erişim Tarihi: 13.12.2020)