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Resources for Undergraduate Courses in Bioinformatics: Works Cited

By Diane P. Genereux

Works Cited

Baron, Michael. Probability and Statistics for Computer Scientists. 3rd ed. Chapman and Hall/CRC, 2019.

Beckerman, Andrew P., Dylan Z. Childs, and Owen L. Petchey. Getting Started with R: An Introduction for Biologists. Oxford, 2017.

Cohen, William. A Computer Scientist’s Guide to Cell Biology: A Travelogue from a Stranger in a Strange Land. Springer, 2007.

Compeau, Phillip, and Pavel Pevzner. Bioinformatics Algorithms: An Active Learning Approach. 3rd ed. Active Learning Publishers, 2018.

Curry, Edward. Introduction to Bioinformatics with R: A Practical Guide for Biologists. Chapman & Hall/CRC, 2020.

Diskin, Shiri. The 21st Century Guide to Writing Articles in the Biomedical Sciences. World Scientific, 2018 (CH, Apr’19, 56-3215).

Ewens, W. J., and Gregory R. Grant. Statistical Methods in Bioinformatics: An Introduction. Springer, 2001.

Gardener, Mark. Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation. Pelagic Publishing, 2012.

Gibas, Cynthia, and Per Jambeck. Developing Bioinformatics Computer Skills. O’Reilly, 2001.

Gibson, Greg, and Spencer V. Muse. A Primer of Genome Science. Sinauer Associates, 2002 (CH, Sep’02, 40-0282).

Glasman-Deal, Hilary. Science Research Writing for Native and Non-Native Speakers of English. World Scientific, 2021.

Hilfiger, John Jay. Graphing Data with R: An Introduction. O’Reilly, 2015.

Jones, Neil C., and Pavel Pevzner. An Introduction to Bioinformatics Algorithms. MIT, 2004.

Kelley, Scott T., and Dennis Didulo. Computational Biology: A Hypertextbook. ASM Books, 2018.

Mathur, Sunil K. Statistical Bioinformatics with R. Academic Press, 2010.

Momand, Jamil, and Alison McCurdy. Concepts in Bioinformatics and Genomics. Oxford, 2017.

Quicke, Donald L. J., Buntika A. Butcher, and  Rachel A. Kruft Welton. Practical R for Biologists: An Introduction. CAB International, 2021.

Quirk, Thomas J., Meghan H. Quirk, and Howard F. Horton. Excel 2019 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems. Springer, 2020.

Rabadan, Raul, and Andrew J. Blumberg. Topological Data Analysis for Genomics and Evolution. Cambridge, 2020 (CH, Mar’21, 58-1945).

Shotts, William E., Jr. The Linux Command Line, 2nd Edition. Orig. pub. No Starch Press, 2019. Available:   

Taveras, John. R for Excel Users: An Introduction to R for Excel Analysts. Create Space, 2017.

Tramontano, Anna. Introduction to Bioinformatics. Chapman & Hall/CRC, 2007.

Venkateshmurthy, M.G. Introduction to Unix and Shell Programming. Available:

Ware, Colin. Information Visualization: Perception for Design. 4th ed. Morgan Kaufman, 2020.

Wickham, Hadley. Ggplot2: Elegant Graphics for Data Analysis. Springer, 2016.

Xia, Xuhua, A Mathematical Primer of Molecular Phylogenetics. Apple Academic, 2020.

Web Resources

The Complete ggplot2 Tutorial 

A Comprehensive Guide to Data Visualisation in R for Beginners

Coronavirus / Michigan Data,9753,7-406-98163_98173---,00.html

COVID-19: Global Literature on Coronavirus Disease


Data Analysis and Visualization in R for Ecologists

Data Wrangling with R

English Communication for Scientists

Genomics Education Websites

Introduction to Genomics

MD Anderson Cancer Center: Public Data Sets

National Center for Health Statistics

NCBI: Training & Tutorials

Our World in Data

Reproducible Research Course




Understanding Data: Graphs—Data Visualization Using R

Workshop on Microbiome Data Package in Bioconductor