DNA Research using Biopython

Course Feature
  • Cost
    Free
  • Provider
    Udemy
  • Certificate
    No Information
  • Language
    English
  • Start Date
    2017-10-17
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Brian Rouse
Next Course
3.9
3,505 Ratings
This course, DNA Research using Biopython, An Introduction To Bioinformatics, is perfect for Hybrid Developers who want to use their existing OOPL development skills to work with DNA and python code. Learn how to use biopython and its libraries to research StatisticsDatasetsGenomesNeucleotidesChromosomesmRNA DNA sequences. Take this course and find out if you can be the one to discover the next big cure!
Show All
Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 18th, 2023]

Skills and Knowledge:
The DNA Research using Biopython, An Introduction To Bioinformatics course will provide learners with the skills and knowledge to work with deoxyribonucleic acid (DNA) and use biopython and its libraries to research StatisticsDatasetsGenomesNeucleotidesChromosomesmRNA DNA sequences. Learners will gain an understanding of how to use their existing OOPL development skills to fly through python code and implement medical research and python code to work toward and infer a solution.
Professional Growth:
DNA Research using Biopython, An Introduction To Bioinformatics, provides an opportunity for professional growth by teaching Hybrid Developer skills. Through this course, participants will gain an understanding of deoxyribonucleic acid (DNA) and how to use biopython and its libraries to research StatisticsDatasetsGenomesNeucleotidesChromosomesmRNA DNA sequences. This knowledge can be applied to medical research and python code to work toward and infer a solution. By taking this course, professionals can gain the skills necessary to make a meaningful contribution to the field of bioinformatics.
Further Education:
DNA Research using Biopython, An Introduction To Bioinformatics, is a course that provides a comprehensive introduction to bioinformatics and the use of biopython. It is suitable for those looking to prepare for further education in the field, as it covers topics such as Statistics, Datasets, Genomes, Neucleotides, Chromosomes, and mRNA DNA sequences. The course also provides an opportunity to apply existing OOPL development skills to python code, allowing students to gain a better understanding of the subject.

Course Syllabus

DNA CRASH COURSE

INTRODUCTION TO BIOINFORMATICS

INTRODUCTION TO BIOPYTHON

Show All
Recommended Courses
free artificial-intelligence-in-bioinformatics-2166
Artificial Intelligence In Bioinformatics
2.0
Udemy 5,000 learners
Learn More
This course provides an introduction to Artificial Intelligence in Bioinformatics, covering topics such as Machine Learning, Artificial Intelligence, Bioinformatics, Image Analysis and Programming. It is designed to equip students with the knowledge and skills to apply AI techniques to solve problems in the field of Bioinformatics. With this course, students will gain a comprehensive understanding of the fundamentals of AI and its applications in Bioinformatics. Click now to learn more about this exciting field and how to use AI to solve complex problems.
free computational-gene-expression-analysis-with-python-2167
Computational Gene Expression Analysis with Python
4.6
Udemy 5,488 learners
Learn More
This course will teach you how to analyze and quantify differences in gene expression using public datasets from the Gene Expression Omnibus. You will learn how to use tools like GEO2R, StringDB, PantherDB and more to analyze publicly available gene expression data. With this course, you will gain a detailed understanding of how gene expression analysis works, such as what is fold change, and how to use Python to analyze and visualize gene expression data. You will also get insight into how to write a paper about your project. Examples of research topics include identifying potential biomarkers for cancer, analyzing changes in gene expression when a sample is treated with a drug or under a condition, and differences in gene expression between early and late stage cancer. All you need is a computer, a Google Account (for Google Sheets + Colab) or Excel, and an internet connection. Enroll now and start your journey to becoming a gene expression analysis expert!
free genome-sequencing-bioinformatics-ii-2168
Genome Sequencing (Bioinformatics II)
5.0
Coursera 4,436 learners
Learn More
Discover the power of genome sequencing and learn how to apply graph theory and brute force algorithms to assemble genomes and identify antibiotics. Join this course to explore the potential of personalized medicine and learn how to sequence the genome of a deadly Staphylococcus bacterium.
free finding-hidden-messages-in-dna-bioinformatics-i-2169
Finding Hidden Messages in DNA (Bioinformatics I)
4.5
Coursera 5,866 learners
Learn More
Discover the power of computing in modern biology with this top 50 MOOC of all time! Join us on the frontier of bioinformatics to look for hidden messages in DNA and understand the complex language of DNA. Learn to apply randomized algorithms and existing software tools to find recurring biological motifs. Sign up now and start your journey into the world of bioinformatics!
Favorites (0)
Favorites
0 favorite option

You have no favorites

Name delet