I would like to share a collection of materials that I find useful as references for concepts that I consider important for genomics/bioinformatics research:
Textbook References:
Statistics:
- Agresti A (2015) Foundations of Linear and Generalized Linear Models.
- Dunn PK and Smyth GK (2018) Generalized Linear Models with Examples in R.
- Hastie T, Tibshirani R, Friedman J (2009) The Elements of Statistical Learning: Data Mining, Inference, and Prediction.
- Mann PS (2013) Introductory Statistics.
- Maronna RA, Martin RD, Yohai VJ, Salibián-Barrera M (2019) Robust Statistics: Theory and Methods (with R).
- McCulloch CE, Searle SR, Neuhaus JM (2008) Generalized, Linear, and Mixed Models.
- Mendenhall W and Sincich T (2020) A Second Course in Statistics: Regression Analysis.
- Rice JA (2007) Mathematical Statistics and Data Analysis. (Previous Course Textbook)
Mathematics:
- Hass J, Heil C, Weir M (2018) Thomas' Calculus: Early Transcendentals.
- Lay D, Lay S, McDonald J (2022) Linear Algebra and Its Applications.
Molecular Biology / Biochemistry:
- Nelson DL and Cox MM (2017) Lehninger principles of biochemistry.
Genetics:
- Brown TA (2023) Genomes 5. (UCR GGB Recommended)
- Griffiths AJF, Wessler SR, Carroll SB, Doebley J (2015) Introduction to Genetic Analysis. (+ Student Solutions Manual) (UCR GGB Recommended) (Earlier Version of UCR BIOL 102 Textbook)
- Hartl DL (2014) Essential Genetics: A Genomics Perspective. (UCR GGB Recommended)
Genomic Data Science:
- Liu BH (1998) Statistical Genomics: Linkage, Mapping, and QTL Analysis.
- Mills MC, Barban N, Tropf FC (2020) An Introduction to Statistical Genetic Data Analysis.
- Neale BM, Ferreira MAR, Medland SE, Posthuma D (2008) Statistical Genetics: Gene Mapping Through Linkage and Association.
- Xu S (2013) Principles of Statistical Genomics. (UCR BPSC 234 / GEN 234 Textbook)
Bioinformatics:
- Durbin R, Eddy S, Krogh A, Mitchison G. (1998) Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. (UCR GGB Recommended)
- Gu J and Bourne PE (2009) Structural Bioinformatics. (UCR BIOL 119 Textbook)
- Jones NC and Pevzner PA (2004) An Introduction to Bioinformatics Algorithms. (UCR GGB Recommended)
Plant Biology/Genetics:
- Acquaah G (2020) Principles of Plant Genetics and Breeding.
- Buchanan BB, Gruissem W, Jones RL (2015) Biochemistry and Molecular Biology of Plants. (UCR BPSC 231 Textbook)
- Fleury D and Whitford R (2014) Crop Breeding: Methods and Protocols.
- Mauseth JD (2021) Botany: An Introduction to Plant Biology.
- Oliver R (2024) Agrios' Plant Pathology.
- Singh BB (2014) Cowpea: The Food Legume of the 21st Century.
On-Line Course References:
Statistics:
- Coursera (Johns Hopkins, Practical Machine Learning) - completed 12/8/2019.
- Coursera (Johns Hopkins, Regression Models) - completed 11/27/2019.
- edX HarvardX PH125.7x (Data Science: Linear Regression) - completed 7/17/2025.
- edX HarvardX PH125.8x (Data Science: Machine Learning) - completed 7/23/2025.
- YouTube Playlist: Harvard University (STAT 110, Probability)
- YouTube Playlist: MIT (6.036, Machine Learning)
Mathematics:
- MIT OCW (18.01sc, Single Variable Calculus)
- Georgia Tech (Interactive Linear Algebra)
- University of British Columbia (CLP Calculus)
- YouTube Playlist: MIT (18.01, Single Variable Calculus)
- YouTube Playlist: MIT (18.06, Linear Algebra)
- YouTube Playlist: North Carolina State University (MA 242, Multivariable Calculus)
- YouTube Playlist: Northeastern University (Linear Algebra)
Molecular Biology / Biochemistry:
- edX HarvardX MCB63X (Principles of Biochemistry) - completed 6/4/2024.
- YouTube Playlist: MIT (7.016, Introductory Biology)
Genetics:
Genomic Data Science:
- Coursera (Johns Hopkins, Genomic Data Science, Specialization) - completed 3/7/2021.
- edX HarvardX (Data Analysis for Life Sciences, Professional Certificate) - completed 11/27/2021.
- YouTube Playlist: Harvard University (STAT 115, Introduction to Bioinformatics and Computational Biology)
- UCR GEN 242 Course Website
Bioinformatics:
- Coursera (University of Toronto, Plant Bioinformatic Methods, Specialization) - completed 7/11/2024.
- YouTube Playlist: MIT (6.8700, Machine Learning for Computational Biology)
- YouTube Playlist: MIT (7.91J, Foundations of Computational and Systems Biology)
- YouTube Playlist: San Diego State University (Computational Genomics)
Plant Biology:
- Coursera (Tel Aviv University, Understanding Plants - Part I: What a Plant Knows) - completed 6/24/2024.
- Coursera (Tel Aviv University, Understanding Plants - Part II: Fundamentals of Plant Biology) - completed 6/26/2024.
- Plant and Soil Sciences eLibrary
To be clear - I am not saying that I can immediately recall all information presented among these materials. However, if others are interested, then I hope that this may be a good starting point. Likewise, these are materials that I can use to review concepts (especially for the printed textbooks).
I hope that this helps!
Change Log:
10/4/2026 - public post date.
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