{"product_id":"working-with-biological-data-in-christos-noutsos-9798234130624","title":"Working with Biological data in Python and R","description":"\u003cp\u003e\u003cstrong\u003eLearn to analyze biological data in both Python and R-even if you have never written a line of code.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eModern biology runs on data. Whether you are sequencing genomes, surveying ecosystems, or measuring gene expression, turning messy spreadsheets into clear answers is now as essential a lab skill as the pipette. \u003cstrong\u003eWorking with Biological Data in Python and R is the hands-on, beginner-friendly introduction written specifically for biology students and researchers.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis is the rare \u003cstrong\u003ebioinformatics textbook that teaches Python and R side by side\u003c\/strong\u003e, so you learn each idea once and immediately see it done in both languages. Every chapter is built on real biological examples-fish, plants, microbes, genes, and DNA-with simulated datasets, ready-to-run scripts, and exercises so you practice as you read. \u003cstrong\u003eNo prior programming or statistics experience is required.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eAcross 20 approachable chapters you will learn to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSet up your computer and write your first scripts in Python and R\u003c\/li\u003e\n\u003cli\u003eRead, clean, and explore messy real-world data with pandas and the tidyverse\u003c\/li\u003e\n\u003cli\u003eBuild clear, publication-quality data visualization with ggplot2, matplotlib, and seaborn\u003c\/li\u003e\n\u003cli\u003eApply core biostatistics-comparing groups, correlation, and regression-and sidestep the most common mistakes\u003c\/li\u003e\n\u003cli\u003eWork with DNA and protein sequences in Biopython, plus genome annotation and key file formats (FASTA, FASTQ, VCF)\u003c\/li\u003e\n\u003cli\u003eRun a complete RNA-seq differential expression analysis with DESeq2 and interpret the results\u003c\/li\u003e\n\u003cli\u003eMeasure biodiversity with vegan and scikit-bio, and read phylogenetic trees with ape and ete3\u003c\/li\u003e\n\u003cli\u003eTake your first steps in machine learning for biology with scikit-learn\u003c\/li\u003e\n\u003cli\u003eMake your work reproducible with notebooks, Git, and GitHub\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eBy the end you will not just follow recipes-you will be able to ask your own biological questions and answer them with data.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eIdeal as an \u003cstrong\u003eundergraduate bioinformatics and biostatistics textbook\u003c\/strong\u003e, a self-study guide for life scientists, or a practical desk reference for anyone making the leap into computational biology and data analysis. Clear explanations, fully worked dual-language code, and real datasets make it the friendliest on-ramp to coding in the life sciences.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOpen the book, open your data, and start coding today.\u003c\/strong\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Christos Noutsos\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798234130624\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Christos Noutsos\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 07\/06\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 380\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.94lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 11.00h x 8.50w x 0.78d\u003cbr\u003e\u003cb\u003eLarge Print\u003c\/b\u003e","brand":"Christos Noutsos","offers":[{"title":"Paperback","offer_id":48997900058879,"sku":"9798234130624","price":60.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/working-with-biological-data-in-christos-noutsos-9798234130624","provider":"WR Book House","version":"1.0","type":"link"}