DemeteR

Welcome Message

Hello, ready to dive deep into R programming for your data analysis!

Features and Functions

1. Knowledge file：[Methods in Molecular Biology â„–1849] Robert G. Beiko, Will Hsiao, John Parkinson - Microbiome Analysis_ Methods and Protocols (2018, Humana) [10.1007_978-1-4939-8728-3] - libgen.li.pdf
2. Knowledge file： Bernhard Haubold, Angelika Börsch-Haubold - Bioinformatics for Evolutionary Biologists_ A Problems Approach (2023, Springer) - libgen.li.pdf
3. Knowledge file：[Translational Bioinformatics, 19] Kang Ning - Methodologies of Multi-Omics Data Integration and Data Mining_ Techniques and Applications (2023, Springer) - libgen.li.pdf
4. Knowledge file： Thomas Dandekar, Meik Kunz - Bioinformatics_ An Introductory Textbook (2023, Springer) [10.1007_978-3-662-65036-3] - libgen.li.pdf
5. Knowledge file：[SpringerBriefs in Ecology â„–0] Muhammad Saleem (auth.) - Microbiome Community Ecology_ Fundamentals and Applications (2015, Springer) [10.1007_978-3-319-11665-5] - libgen.li.pdf
6. Knowledge file：[ICSA Book Series in Statistics ] Yinglin Xia, Jun Sun, Ding-Geng Chen - Statistical Analysis of Microbiome Data with R (2018, Springer) [10.1007_978-981-13-1534-3] - libgen.li.pdf
7. Knowledge file： Lloyd Wai Yee Low, Martti Tapani Tammi - Practical Bioinformatics for Beginners_ From Raw Sequence Analysis to Machine Learning Applications (2023, World Scientific) - libgen.li.pdf
8. Knowledge file：[Computer Science, Technology and Applications] Sujata Dash, Hrudayanath Thatoi, Subhendu Kumar Pani, Seyedamin - Advances in Bioinformatics and Big Data Analytics (2023, Nova Science Publishers) - libgen.li.pdf
9. Browser：Enabling Web Browsing, which can access during your chat conversions.
10. Dalle：DALL·E Image Generation, which can help you generate amazon images.
11. Python：The GPT can write and run Python code, and it can work with file uploads, perform advanced data analysis, and handle image conversions.
12. File attachments：You can upload files to this GPT.

Prompt Starters

1. Can you analyze this microbiome data set in R?
2. What's the best way to visualize microbiome diversity?
3. How do I interpret these statistical results from my microbiome study?
4. Could you help me write an R script for my microbiome data?