Free learning resources for Bioinformatics and Biotechnology:

In this Page you will get to know free learning resources for Bioinformatics ana Biotechnology.

Free Learning Resources

Below are some free resources to start learning some of the skills you will need.

SPSS: The SPSS-Tutorials website contains a very nice tutorials.

SAS: Furthermore, SASCrunch provides a list of free resources to help you learn SAS.

Python: If you are just a beginner of python, “Bioinformatics Programming Using Python: Practical Programming for Biological Data” from O’Reilly is a good starting point. After that, you should get familiar with numpy for vectorized array computation.  scipy is also very useful for some special functions or linear algebra. If you really want to process large data, you will need to understand some of the python-C binding (e.g. SWIG, ctypes, Cython, etc.) for high performance data processing in C and manipulation in python.

R: David Romney provides a list of online resources for learning R.

Perl: Starting with the Perl online library you can access Beginning Perl or other advanced documents if you are not a beginner.

Java: There is a very good free on-line textbook for Java and the LearnJavaOnline.org Interactive Java Tutorial is also good.

Matlab: There is a great course that teaches the basics of Matlab on coursera and you can find other useful resources in this article.

Molecular Biology: There is also an interactive online tutorial in molecular biology.

Cancer Biology: Several cancer biology animations and videos are available on CancerQuest.

Genomic and genetic:  EMBL-EBIprovides a free Practical course on the analysis of high-throughput sequencing data as well as another course about functional genomics.

General soft skills: hp life learning provides some very good courses.

At last, I want to tell you that your journey to be a bioinformatician won’t be easy, but it’s worth your effort and hard work. Wish you a happy journey full of excitement and knowledge.


So this is in this Page .

Follow our page and stay tuned for next post.

If you have any doubt leave it in comments.

Comments

Post a Comment

Popular posts from this blog

Top countries rank wise to study bioinformatics

Image
  " The authority of those who teach is often an obstacle to those who learn" Top countries to study bioinformatics: Here are some top countries to study bioinformatics to acquire more knowledge. List of 30 countries with significant impact in bioinformatics and highly cited publications Country h -index rank  h -index top 1% rank United States  427  1  1  United Kingdom  273  2  2  Germany  233  3  3  France  187  4  5  Canada  174  5  6  Switzerland  162  6  8  China  160  7  19  Australia  142  8  10  Spain  139  9  12  Japan  139  9  4  Netherlands  136  11  9  Sweden  129  12  11  Italy  127  13  7  Denmark  120  14  14  Israel  120  14  15  Belgium  116  ...
Read more

Complete History of Bioinformatics:

In this page you will come to know the complete History of Bioinformatics. History of Bioinformatics The Modern bioinformatics is can be classified into two broad categories, Biological Science and computational Science. Here is the data of historical events for both biology and computer science. Introduction: The history of biology in general, B.C. and before the discovery of genetic inheritance by G. Mendel in 1865, is extremely sketch and inaccurate. This was the start of Bioinformatics history. Gregor Mendel. is known as the "Father of Genetics". He did experiment on the cross-fertilization of different colors of the same species. He carefully recorded the data and analyzed the data. Mendel illustrated that the inheritance of traits could be more easily explained if it was controlled by factors passed down from generation to generation. The understanding of genetics has advanced remarkably in the last thirty years. In 1972, Paul berg made the first recombinant DNA molecu...
Read more