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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2020
عنوان انگلیسی مقاله:
Comprehensive Comparison of Cloud-Based NGS Data Analysis and Alignment Tools
ترجمه فارسی عنوان مقاله:
مقایسه جامع ابزارهای تحلیل و تراز داده NGS مبتنی بر ابر
منبع:
Sciencedirect - Elsevier - Informatics in Medicine Unlocked, Journal Pre-proof: 10:1016/j:imu:2020:100296
نویسنده:
Qanita Bani Baker, Mahmoud Hammad, Wesam Al-Rashdan, Yaser Jararweh, Mohammad AL-Smadi, Mohammad Al-Zinati
چکیده انگلیسی:
Next-Generation Sequencing (NGS) is very helpful for conducting DeoxyriboNucleic Acid (DNA)
Sequencing. DNA sequencing is the process for determining the order (sequence) of the main chemical
bases in the DNA. Analyzing human DNA sequencing is important for determining the possibility that a
person will develop certain diseases, and/or the ability to respond to medication. However, the NGS
process is a complicated and resource-hungry technical process. To solve this dilemma, the majority of
NGS software systems are deployed as cloud-based services distributed over cloud-based platforms.
Cloud-based platforms provide promising solutions for the computationally intensive tasks required by
the NGS data analysis. This work provides a comprehensive investigation of cloud-based NGS data
analysis and alignment tools, both the commercial and the open-source tools. We also discuss in detail the
main features and setup requirements for each tool, and then compare and contrast between them. Moreover,
we extensively analyze and classify the studied NGS data analysis and alignment tools to help NGS
biomedical researchers and clinicians in finding appropriate tools for their work, while understanding the
similarities and the differences between them.
Keywords: Next-Generation Sequencing (NGS) | Sequence Alignment | Cloud Computing | Big Data | Bioinformatics
قیمت: رایگان
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