Replication origin
Find a bacterial genome’s replication origin using GC skew and repeated motifs.
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Biology & health · 27Beginner
Bioinformatician
Biologists who code or programmers moving into life sciences.
Python, biology and statistics basics, bioinformatics algorithms and genomic data analysis.
334hours of coursework
34weeks at 10 h
5steps
25courses
4universities
Target skills
Python ProgrammingData StructuresMolecular BiologyStatistical ModelingStatistical AnalysisData VisualizationBiologyStatistical Hypothesis TestingExploratory Data AnalysisBioinformaticsData ScienceData Processing
Skill labels as listed on Coursera.
Target jobs
- Bioinformatician
- Health data scientist
- Genomics engineer
Progression
- 1University of MichiganBeginnerPython, SQL, SQLite
Stated prerequisites: No prerequisites; designed as an on-ramp to programming
Show the 5 courses
Course Level Length Rating (reviews) Programming for Everybody (Getting Started with Python) Beginner 17 h 4.8 (233,775) Python Data Structures Beginner 20 h 4.9 (97,365) Using Python to Access Web Data Beginner 19 h 4.8 (44,591) Using Databases with Python Beginner 14 h 4.8 (21,659) Capstone: Retrieving, Processing, and Visualizing Data with Python Beginner 9 h 4.7 (14,483) - 2University of Colorado BoulderBeginner
Show the 4 courses
Course Level Length Rating (reviews) Biology Everywhere Foundations Beginner 5 h 4.5 (249) The Little Stuff: Energy, Cells, and Genetics Beginner 6 h 4.7 (127) The Big Stuff: Evolution and Ecology Beginner 4 h 4.6 (48) Specialty Topics: Biology Across Disciplines Beginner 7 h 4.4 (43) - 3University of MichiganBeginnerPython, Jupyter, Matplotlib, NumPy, pandas, Seaborn, Statsmodels
Stated prerequisites: High school algebra; basic Python recommended
Show the 3 courses
Course Level Length Rating (reviews) Understanding and Visualizing Data with Python Beginner 20 h 4.7 (2,741) Inferential Statistical Analysis with Python Intermediate 22 h 4.6 (938) Fitting Statistical Models to Data with Python Intermediate 15 h 4.4 (718) - 4University of California San DiegoBeginnerPython
Stated prerequisites: Basic high school biology; ability to think technically
Show the 7 courses
Course Level Length Rating (reviews) Finding Hidden Messages in DNA (Bioinformatics I) Beginner 16 h 4.2 (1,646) Genome Sequencing (Bioinformatics II) Intermediate 17 h 4.6 (327) Comparing Genes, Proteins, and Genomes (Bioinformatics III) Intermediate 22 h 4.6 (143) Molecular Evolution (Bioinformatics IV) Intermediate 18 h 4.5 (79) Genomic Data Science and Clustering (Bioinformatics V) Intermediate 10 h 4.1 (94) Finding Mutations in DNA and Proteins (Bioinformatics VI) Intermediate 24 h 4.6 (63) Bioinformatics Capstone: Big Data in Biology Intermediate 13 h 3.7 (29) - 5Johns Hopkins UniversityIntermediatePython, R, Bioconductor, Unix
Stated prerequisites: Some statistics, computer science and biology background (helpful, not required)
Show the 6 courses
Course Level Length Rating (reviews) Introduction to Genomic Technologies — 6 h 4.6 (4,901) Python for Genomic Data Science — 8 h 4.3 (1,830) Algorithms for DNA Sequencing Beginner 12 h 4.7 (938) Command Line Tools for Genomic Data Science — 12 h 4.0 (578) Bioconductor for Genomic Data Science — 9 h 3.8 (388) Statistics for Genomic Data Science — 9 h 4.2 (383)
With Coursera Plus
This path takes 334 hours, about 8 months at 10 hours a week. A Coursera Plus subscription gives access to most of its courses during that time.
Projects to build
Toy assembler
Assemble short reads with a De Bruijn graph.
Differential expression
Analyse a public RNA-seq dataset with Bioconductor and find over-expressed genes.
Free textbooks
Python for EverybodyCharles R. SeveranceFree, CC BY 4.0
Biology 2eOpenStaxFree, CC BY 4.0
Computational Genomics with RAltuna AkalinFree online, CC BY-NC-SA 4.0
OpenIntro StatisticsD. Diez, M. Çetinkaya-Rundel, C. BarrFree PDF