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Increasing data generation in science led researchers to use high end computational/bioinformatics tools to analyze these extensive data. Also, being in science, writing is a crucial part of it. You always want to express your research work most attractively.


Don’t stay behind !!

Below is a list of few courses available freely. How much time you take to learn them depends on you. Courses consist of short quiz and assignments.

1. Writing in the Sciences

What will you learn:

  1. Good writing
  2. Faster writing with less anxiety
  3. Scientific manuscript
  4. Peer review
  5. Grant writing
  6. Ethical issues in scientific publication
  7. Writing for general audiences.

Course link: click here

Duration: approx. 20 hours

Rating: 4.9/5

Course offered by:  Stanford University

2. Bioinformatics Method 1 (Plant Bioinformatic Methods Specialization)

What will you learn:

  1. Web-based programs and databases
  2. Deals with databases
  3. Blast
  4. Multiple sequence alignments
  5. Phylogenetics

Course link: click here

Duration: approx. 20 hours

Rating: 4.7/5

Course offered by: University of Toronto

3. Bioinformatics Method 2 (Plant Bioinformatic Methods Specialization)

What will you learn: 

  1. Gene expression data analysis
  2. Protein interaction networks
  3. Covers motif searching
  4. Protein-protein interactions
  5. Structural bioinformatics
  6. Gene expression data analysis
  7. Cis-element predictions.

Course link: click here

Duration: approx. 19 hours

Rating: 4.7/5

Course offered by: University of Toronto

4. Bioinformatics method 3 (Plant Bioinformatic Methods Specialization)

What will you learn:

  1. Module 1: GENOMIC DBs / PRECOMPUTED GENE TREES / PROTEIN TOOLS. Araport, TAIR, Gramene, EnsemblPlants Compara, PLAZA; SUBA4 and Cell eFP Browser, 1001 Genomes Browser
  2. Module 2: EXPRESSION TOOLS. eFP Browser / eFP-Seq Browser, Araport, Genevestigator, TravaDB, NCBI Genome Data Viewer for exploring RNA-seq data for many plant species other than Arabidopsis, MPSS database for small RNAs
  3. Module 3: COEXPRESSION TOOLS. ATTED II, Expression Angler, AraNet, AtCAST2
  4. Module 4: PROMOTER ANALYSIS. Cistome, Athena, ePlant
  5. Module 5: GO ENRICHMENT ANALYSIS AND PATHWAY VIZUALIZATION. AgriGO, AmiGO, Classification SuperViewer, TAIR, g:profiler, AraCyc, MapMan (optional: Plant Reactome)
  6. Module 6: NETWORK EXPLORATION. Arabidopsis Interactions Viewer 2, ePlant, TF2Network, Virtual Plant, GeneMANIA

Course link: click here

Duration: approx. 14 hours

Rating: 4.8/5

Course offered by: University of Toronto

5. Finding Hidden Messages in DNA (Bioinformatics)

What will you learn:

  1. Investigate DNA replication, where in the genome does DNA replication begin?
  2. Biological question like (which DNA patterns play the role of molecular clocks

Course link: click here

Duration: approx. 16 hours

Rating: 4.5/5

Course offered by: University of California San Diego

6. Genome Sequencing (Bioinformatics II)

What will you learn:

  1. Graph theory to assemble genomes from short pieces of genome fragment
  2. Sequence the genome of a deadly Staphylococcus bacterium that has acquired antibiotics resistance.

Course link: click here

Duration: approx. 17 hours

Rating: 4.7/5

Course offered by: University of California San Diego

7. Comparing Genes, Proteins, and Genomes (Bioinformatics III)

What will you learn:

  1. compare sequence of gene or proteins.
  2. Determining the mutations that have separated these genes or proteins by algorithmic tool called dynamic programming.
  3. Learn genomic rearrangements, seismic events in large block of DNA over millions of years of evolution.
  4. Sequence alignment, BLAST and more.

Course link: click here

Duration: approx. 22 hours

Rating: 4.7/5

Course offered by: University of California San Diego


We are not promoting the website ‘coursera’ for any financial interest.  The above courses are free to learn, until you select for a certification for any course. The list provided here is to help students learn new bioinformatics tools and other interesting topics.

Learning is fun. Enjoy it !!