Hi,

You may try online youtube tutorial. Alternatively, there are many free online bioinformatics courses on Edx, Coursera, etc. for you to learn bioinformatics for free. Topics which you can learn from these sources are plenty, for example, protein structure prediction, protein docking, protein/DNA alignment, primer design, R for bioinformatics and many more.

Good luck and all the best in learning!

Hi

You can check out the link and it may provide you guidance...

http://elements.eaglegenomics.com/

The area of bioinformatics is very diverse and interesting. There many problems and it it depends on the core/research area of the scholar to focus on which problems more like structure prediction,algorithm development,NGS,etc. Like for example my area is bioinformatics algorithm development and applying reverse engineering to find out key genes in disorders.

Thank you very much for your suggestions. I'll explore those sites and doc.

You can have a glance on the book

Self Learning of Bioinformatics Online: Online learning,tutorial,Video,Blog,Social Media Kindle Edition-by Ajit Roy (Author).

https://kdp.amazon.com/en_US/bookshelf

Bioinformatics is, fundamentally, an issue of pattern matching. Pattern matching is a sub-field of computer science. So, bioinformatics amounts to the searching for patterns within, for instance the genome, or, between genome and proteome. Yet, ultimately, bioinformatics is not different from the recognition of license plate numbers in 2D images, such as those taken by cameras located at international border crossings.

::::::::::::::::::::::::: Bioinformatics Courses available on coursera ::::::::::::::::::::::::::::::::::::

Biology Meets Programming: Bioinformatics for Beginners

https://www.coursera.org/learn/bioinformatics

Bioinformatics Specialization

Journey to the Frontier of Computational Biology. Master bioinformatics software and computational approaches in modern biology.

https://www.coursera.org/specializations/bioinformatics

Finding Hidden Messages in DNA (Bioinformatics I)

https://www.coursera.org/learn/dna-analysis

Comparing Genes, Proteins, and Genomes (Bioinformatics III)

https://www.coursera.org/learn/dna-mutations

Introduction to Genomic Technologies

https://www.coursera.org/learn/introduction-genomics

Python for Genomic Data Science

https://www.coursera.org/learn/python-genomics

Genomic Data Science with Galaxy

https://www.coursera.org/learn/galaxy-project

Big Data, Genes, and Medicine

https://www.coursera.org/learn/data-genes-medicine

Data Structures and Algorithms Specialization

https://www.coursera.org/specializations/data-structures-algorithms

Command Line Tools for Genomic Data Science

https://www.coursera.org/learn/genomic-tools

Genome Sequencing (Bioinformatics II)

https://www.coursera.org/learn/genome-sequencing

Molecular Evolution (Bioinformatics IV)

https://www.coursera.org/learn/molecular-evolution

Plant Bioinformatics

https://www.coursera.org/learn/plant-bioinformatics

:::::::::::::::::::::::::::::::: Bioinformatics Courses available on EdX ::::::::::::::::::::::::::::::::::::

Bioinformatics

Learn how to analyze biological big data to unlock the next big biotech discovery.

https://www.edx.org/micromasters/bioinformatics

Statistical Analysis in Bioinformatics

https://www.edx.org/course/statistical-analysis-in-bioinformatics-0

Introduction to Genomic Data Science

https://www.edx.org/course/introduction-genomic-data-science-uc-san-diegox-cse181-1x

Demystifying Biomedical Big Data: A User’s Guide

https://www.edx.org/course/demystifying-biomedical-big-data-users-georgetownx-biox-201-01x-0

Proteins: Alignment, Analysis and Structure

https://www.edx.org/course/proteins-alignment-analysis-and-structure-0

DNA Sequences: Alignments and Analysis

https://www.edx.org/course/dna-sequences-alignments-and-analysis

Genomic Medicine Gets Personal

https://www.edx.org/course/genomic-medicine-gets-personal-georgetownx-medx202-02x

Principles, Statistical and Computational Tools for Reproducible Science

https://www.edx.org/course/principles-statistical-computational-harvardx-ph527x

hi aviola

can have an online meeting to discuss same .

bioinformatics dummies bk is a good start .

I recommend this website, it is very helpful

https://www.biostars.org/

If you want to say hello to structural bioinformatics, I think a book entitled

Understanding Bioinformatics edited by Marketa J Zvelebil, Jeremy O. Baum (https://www.crcpress.com/Understanding-Bioinformatics/Zvelebil-Baum/p/book/9780815340249) is the best option for you. You can also read newer books for reaching the goal. The second edition of Structural Bioinformatics edited by Jenny Gu, Philip E. Bourne (https://www.wiley.com/en-us/Structural+Bioinformatics%2C+2nd+Edition-p-9780470181058) is another choice for you. You can download these books from the literature, and then try to learn everything about structural bioinformatics quickly.