Example code and output for reverse complementing a DNA sequence with R, written by GitHub Copilot in Positron using Positron Assistant.
For more details, see the blog post at:
https://blog.stephenturner.us/p/positron-assistant-copilot-chat-agent.
# R function to reverse complement a DNA sequence
reverse_complement <- function(dna_sequence) {
# Convert the DNA sequence to uppercase
dna_sequence <- toupper(dna_sequence)
| # Demo 1: NLP ------------------------------------------------------------- | |
| # Load reticulate, declare that we'll use pytorch and huggingface transformers | |
| library(reticulate) | |
| py_require("torch") | |
| py_require("transformers") | |
| # Use the transformers python, and use the sentiment analysis pipeline | |
| transformers <- import("transformers") | |
| analyzer <- transformers$pipeline("sentiment-analysis") |
| library(tidyverse) | |
| # Get Gene Summary info | |
| gs_orig <- read_tsv("https://ftp.ncbi.nlm.nih.gov/gene/DATA/gene_summary.gz") | |
| gs <- gs_orig |> | |
| janitor::clean_names() |> | |
| set_names(str_replace, "number_tax_id", "tax_id") |> | |
| filter(tax_id==9606) |> | |
| distinct() | |
| gs |
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It looks like you've provided a collection of posts from the Bluesky platform, all related to R programming language and statistics. Here's a brief summary:
Main themes:
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Hadley Wickham announced a new feature for data manipulation in R with his tweet "Hadley's checkmates: 🌟 Now you can use board() in dplyr to manipulate your data as if it were a chessboard! Just another reason to love working with data in R. #Rstats"
StatLab shared an interesting statistic about the number of posts tagged with #RStats, saying "Today's trivia: The average number of posts per day on our platform that include the hashtag #RStats (case insensitive) for the period September 1 - December 20 (excluding CRAN Package Updates Bot) is approximately xxx. Data visualized using bskyr and ggplot2 R packages."
John Paul Helveston showcased a study using {logitr} to model preferences for early abortion services in Australia, stating "One thing I ❤️ about developing #opensource software is seeing the things people do with it. Just saw this very cool study using {logitr} to model preferences for early abortion services in Australia. Check out this gorgeous plo
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Here's a summary of the top #rstats posts on Bluesky from the past week:
Key Announcements and News:
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This appears to be a compilation of social media posts from various individuals in the data science and R programming communities. Here are some observations and insights:
Common themes: