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    • Next Generation Sequencing

    篩選依據

    ''next generation sequencing'的 11 個結果

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      Johns Hopkins University

      Genomic Data Science

      您將獲得的技能: Probability & Statistics, Bioinformatics, Computer Programming, Statistical Programming, Python Programming, Data Analysis, R Programming, Theoretical Computer Science, Algorithms, Business Analysis, General Statistics, Statistical Analysis, Data Analysis Software, Computer Programming Tools, Biostatistics, Other Programming Languages, Software Engineering, Big Data, Data Management, Data Visualization, Amazon Web Services, Cloud Applications, Cloud Computing, Cloud Platforms, Statistical Tests, Basic Descriptive Statistics, Computational Thinking, Exploratory Data Analysis, Accounting, Advertising, Communication, Computer Graphics, Financial Analysis, Graphics Software, Marketing

      4.5

      (5.8k 條評論)

      Intermediate · Specialization · 3-6 Months

    • 免費

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      Technical University of Denmark (DTU)

      Whole genome sequencing of bacterial genomes - tools and applications

      您將獲得的技能: Bioinformatics, Probability & Statistics, Data Analysis, Databases

      4.6

      (1.3k 條評論)

      Beginner · Course · 1-3 Months

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      The State University of New York

      Big Data, Genes, and Medicine

      您將獲得的技能: Probability & Statistics, Bioinformatics, Data Analysis, R Programming, Basic Descriptive Statistics

      4.2

      (253 條評論)

      Advanced · Course · 1-3 Months

    • 免費

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      Peking University

      Bioinformatics: Introduction and Methods 生物信息学: 导论与方法

      您將獲得的技能: Bioinformatics, Probability & Statistics, Algorithms, Theoretical Computer Science, Databases, Human Computer Interaction, Machine Learning, Markov Model, User Experience

      4.4

      (236 條評論)

      Mixed · Course · 3-6 Months

    • 免費

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      University of Copenhagen

      Personalised Medicine from a Nordic Perspective

      4.5

      (28 條評論)

      Intermediate · Course · 1-3 Months

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      University of Toronto

      Bioinformatic Methods I

      您將獲得的技能: Bioinformatics, Probability & Statistics, Algorithms, Data Management, Data Structures, Databases, Theoretical Computer Science

      4.7

      (1.6k 條評論)

      Beginner · Course · 1-3 Months

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      Johns Hopkins University

      Introduction to Genomic Technologies

      您將獲得的技能: Probability & Statistics, Bioinformatics, Data Analysis, Business Analysis, General Statistics, Statistical Analysis, Algorithms, Computer Programming, Software Engineering, Statistical Tests, Theoretical Computer Science

      4.6

      (4.2k 條評論)

      Mixed · Course · 1-4 Weeks

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      Coursera Project Network

      Introduction to TestNG and Integration with Selenium

      您將獲得的技能: Computer Programming, Java Programming, Mobile Development, Software Engineering, Software Testing

      4.6

      (51 條評論)

      Beginner · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Advanced TestNG Framework and Integration with Selenium

      您將獲得的技能: Software Engineering, Software Testing

      4.7

      (33 條評論)

      Advanced · Guided Project · Less Than 2 Hours

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      McMaster University

      DNA Decoded

      4.8

      (1.1k 條評論)

      Intermediate · Course · 1-4 Weeks

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      免費

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      The University of Melbourne

      Discrete Optimization

      您將獲得的技能: Computer Science, Mathematics, Applied Mathematics, Computer Programming, Geometry, Linear Algebra, Python Programming, Algorithms, Entrepreneurship, Graph Theory, Market Research, Operations Research, Programming Principles, Research and Design, Software Engineering, Software Testing, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.8

      (702 條評論)

      Intermediate · Course · 1-3 Months

    1

    總之,這是我們最受歡迎的 next generation sequencing 門課程中的 10 門

    • Genomic Data Science: Johns Hopkins University
    • Whole genome sequencing of bacterial genomes - tools and applications: Technical University of Denmark (DTU)
    • Big Data, Genes, and Medicine: The State University of New York
    • Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University
    • Personalised Medicine from a Nordic Perspective: University of Copenhagen
    • Bioinformatic Methods I: University of Toronto
    • Introduction to Genomic Technologies: Johns Hopkins University
    • Introduction to TestNG and Integration with Selenium: Coursera Project Network
    • Advanced TestNG Framework and Integration with Selenium: Coursera Project Network
    • DNA Decoded: McMaster University

    關於 下一代測序 的常見問題

    • Next-generation Sequencing refers to a number of different, modern sequencing methods or technologies used to determine an organism’s nucleotide sequence—otherwise known as the groups of molecules that form its DNA or RNA, and the order in which they fall. The “next-generation” aspect denotes quicker, cheaper sequencing, and is named as such to differentiate from older methods.

      Next-generation sequencing is important so learners can utilize this biological-research imperative for medical diagnosis, biotechnology, forensic biology, virology, and other related fields. DNA and RNA sequencing have greatly accelerated biological and medical research discoveries, and skills in the technologies that enable it are considered highly valuable.‎

    • Since Next-Generation Sequencing is a highly sought-after skill, there is no shortage of opportunities for learners. Jobs include Field Applications Scientist, Study Manager, Business Development in Sequencing Services, Research Associate, Bioinformatics Scientist, Clinical Researcher, Biostatistician, Lab Technician, Data Scientist, Data Analyst, and others.‎

    • Through Coursera, learners can take courses that cover the concepts and tools to understand, analyze, and interpret data from next-generation sequencing experiments. The most common tools used in genomic data science are explored, including Python, R, Bioconductor, and Galaxy.

      Lessons are designed to introduce the subject of Next-generation Sequencing, demonstrate related tools, cover the applications of the tools for various biological uses, and give learners the opportunity for hands-on learning with the tools.‎

    • A background in science can definitely be helpful if you're planning to learn next-generation sequencing, particular studies or work experience in biology, molecular biology, biochemistry, chemistry, and related fields. Work in a laboratory or research institution can be helpful as can any experience performing scientific experiments. A background in health care can also be beneficial if you plan to study next-generation sequencing, particularly classes, degrees, or experience with genetics, immunology, oncology, or related areas. Some computer and software skills are also useful, like proficiency in Microsoft Office, particularly the ability to use Excel and PowerPoint.‎

    • A career in next-generation sequencing requires excellent analytical skills. You must be a natural problem solver and troubleshooter who can think quickly on your feet, as well as someone who can learn new concepts and adapt quickly to new circumstances. Organizational skills are a must, as are good communication and interpersonal skills. You'll be working with a team in most settings that use next-generation sequencing, which means maintaining relationships and sharing information regularly. You'll also need good written communication skills, as you'll be maintaining notes, potentially applying for patents, writing presentations, and possibly writing for peer-reviewed journals. Finally, you'll need to be able to multitask in a fast-paced environment.‎

    • Anyone who wants a career in science and health care—but who prefers working in a lab rather directly with patients—may be suited to learn next-generation sequencing. This is especially true for anyone who is interested in genetics or for people who have a passion for helping others overcome disease through accurate diagnosing, prognostication, and therapy and treatment. Learning next-generation sequencing and working towards a career in this growing field means becoming a scientist with a lifelong passion for learning, researching, and experimenting. You'll also be learning a skill that can help you start a career in a field that pays well and has a positive outlook for the future.‎

    此常見問題解答內容僅供參考。建議學生多做研究,確保所追求的課程和其他證書符合他們的個人、專業和財務目標。
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