Bethesda, MD
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The goals of the Bioinformatics Training and Education Program within NCI/CCR are: To make researchers aware of the bioinformatics resources available to them, To provide training and guidance on these resources regularly and at Read More...
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Bioinformatics
Dataquest licenses are being retired and will no longer be available after Sept 15, 2025. If you have questions about Dataquest or Coursera licenses, please contact us at ncibtep@nih.gov.
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Bioinformatics
Below are two Unix courses offered by Dataquest. Learners are able to use an browser-integrated Unix terminal to gain hands-on experience in the two Dataquest classes below. You will need a license to access Dataquest Read More...
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Bioinformatics
Below are two Unix courses offered by Dataquest. Learners are able to use an browser-integrated Unix terminal to gain hands-on experience in the two Dataquest classes below. You will need a license to access Dataquest Read More...
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Bioinformatics
https://www.dataquest.io/course/introduction-to-python/ https://www.dataquest.io/path/data-scientist/ https://www.dataquest.io/path/data-analyst/
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Bioinformatics
Dataquest - great for learning programming skills Coursera - great for learning more specific skills Click here for license information. Books and other resources: See this list for introductory R material. A Primer for Computational Read More...
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Bioinformatics
Dataquest - great for learning programming skills Coursera - great for learning more specific skills Click here for license information. Books and other resources: See this list for introductory R material. A Primer for Computational Read More...
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Bioinformatics
https://www.datacamp.com/blog/python-vs-r-for-data-science-whats-the-difference#gs.JrY_3bk https://shiring.github.io/r_vs_python/2017/01/22/R_vs_Py_post https://realpython.com/python-ides-code-editors-guide/ https://medium.com/@hamza_33678/programming-for-bioinformatics-r-vs-python-52969a1f7a49#:~:text=While%20both%20 Read More...
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Bioinformatics
https://www.datacamp.com/blog/python-vs-r-for-data-science-whats-the-difference#gs.JrY_3bk https://shiring.github.io/r_vs_python/2017/01/22/R_vs_Py_post https://realpython.com/python-ides-code-editors-guide/ https://medium.com/@hamza_33678/programming-for-bioinformatics-r-vs-python-52969a1f7a49#:~:text=While%20both%20 Read More...
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Bioinformatics
A syntax comparison from Dataquest: https://www.dataquest.io/blog/python-vs-r/ . Note R code can be run using python with the rpy2 library. Python code can be executed through R using the reticulate package.
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Bioinformatics
A syntax comparison from Dataquest: https://www.dataquest.io/blog/python-vs-r/ . ::: {.callout-note appearance="simple"} R code can be run using python with the rpy2 library. Python code can be executed through R using Read More...
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Bioinformatics
Coursera Programming for Everybody (Getting Started with Python) Instructor: Charles Severance, PhD (University of Michigan) Data Analysis with Python Instructor: IBM staff Includes data wrangling and regression analysis Data Visualization with Python Intructor: IBM staff Read More...
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Bioinformatics
Variables, Data Types, and Lists in Python Data Scientist in Python
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Bioinformatics
Coursera Dataquest Visit the self learning resources page to request a Dataquest or Coursera license.
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Bioinformatics
See https://bioinformatics.ccr.cancer.gov/docs/unix-on-biowulf-2024/ for a more detailed Unix and Biowulf class. Check the BTEP Calendar for upcoming advanced Unix classes. Email ncibtep@nih.gov or drop by BTEP's Virtual Read More...
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Bioinformatics
Online learning platforms Coursera and Dataquest both have Python classes. To request a license see https://bioinformatics.ccr.cancer.gov/btep/self-learning/. Below are some recommended courses from Coursera and Dataquest for those who wish Read More...
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Bioinformatics
BTEP is currently running on-line classes to enable CCR scientists to learn computer and bioinformatics skills remotely. We are using two on-line resources as the basis of each class and have added bi-weekly interactive learning Read More...
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Bioinformatics
https://www.dataquest.io/blog/rstudio-tips-tricks-shortcuts/
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Bioinformatics
Some Tips on R https://www.dataquest.io/blog/rstudio-tips-tricks-shortcuts/
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Bioinformatics
Clinicians and bench scientists (a.k.a., wet lab researchers) are at the forefront of scientific achievement. However, most, if not all contemporary projects involve robust scientific analysis, where the tools of exploration aren’t Read More...
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Bioinformatics
Base R cheat sheet Other cheat sheets can be found here . There is also a nice review here . There are a ton of free tutorials. There are at least 230 Git repositories that focus on R Read More...
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Bioinformatics
Classes & Events Classes & Events Hosted By BTEP. Courses Learn Introductory to Advanced Bioinformatics. NIDAP Training Understand how to use NIDAP(NIH Integrated Data Analysis Platform). Self-Learning Self-Paced learning licenses available to Read More...
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Bioinformatics
on the front page is the NIH Bioinformatics Calendar (search by topic, or organizer, info on current, future and past events) Licenses are available to online learning platforms (Dataquest and Coursera), where you can learn Read More...
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Bioinformatics
06/13/2023 - In this class, attendees will be introduced to the different bioinformatics resources available to them at NCI. This includes: (1) Bioinformatics Training Classes and Events (2) Online Learning Platforms Licenses (Coursera and Dataquest) (3) Using the NIH Read More...
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Bioinformatics
05/11/2023 - In this class, attendees will be introduced to the different bioinformatics resources available to them at NCI Center for Cancer Research (CCR). This includes: (1) Bioinformatics Training Classes and Events (2) Online Learning Platforms Licenses (Coursera Read More...
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Bioinformatics
The R community is extensive and getting help is now easier than ever with a simple web search. If you can't figure out how to plot something, give a quick web search a try. Read More...
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Bioinformatics
There is a temporary interruption in Coursera support. Licenses will terminate on Sept 10, 2025. This termination is expected to be brief, with the resumption of licenses expected in November / December 2025. All progress and course work will Read More...
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Bioinformatics
Learning Objectives Learn about popular programming languagues in bioinformatics Compare advantages and disadvantages of Python and R Discuss what you will need to learn to use these languages Discuss learning resources Choosing a programming language Read More...
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Bioinformatics
Learning Objectives Learn about popular programming languagues in bioinformatics Compare advantages and disadvantages of Python and R Discuss what you will need to learn to use these languages Discuss learning resources Choosing a programming language Read More...
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Bioinformatics
In this lesson we will use two different sets of data. First, we will use data available with your base R installation, the iris data set, which is stored in object iris . These data include Read More...
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Bioinformatics
Where can I find examples of different types of plots? The R Graph Gallery is a fantastic resource for R data visualization. The gallery can be used to explore different plot types and the code Read More...
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Bioinformatics
R Course FAQs Where can I find examples of different types of plots? The R Graph Gallery is a fantastic resource for R data visualization. The gallery can be used to explore different plot types Read More...
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Bioinformatics
10/28/2021 - For NCI Coursera license holders. Please join us for a discussion followed by question and answer session on the topic of "R or Python, Which Should I Learn?". Meeting Link: https://cbiit. Read More...
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Bioinformatics
This archive contains past and present issues of the BTEP BioInformatics Bulletin. The BTEP Bioinformatics Bulletin features select upcoming bioinformatics events offered across NIH and is distributed monthly via email to the Center Read More...
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Bioinformatics
BTEP strives to maintain links to resources that should be of interest to CCR Bioinformatics Community. Some of the resources to will be accessible through more than one of these lists, but since the lists Read More...
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Bioinformatics
Syllabus for “Bioinformatics for Beginners" Instructors: Co-Instructors: To participate in these courses, you need a computer, reliable internet connection and a web browser. All classes and help sessions will be held online. This class Read More...
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Bioinformatics
Introduction to Bioinformatics Resources at NCI (06/13, Instructor Amy Stonelake, PhD (BTEP)) In this lesson, attendees will be introduced to the different bioinformatics resources available to them at NCI. This includes: Bioinformatics Training Classes and Events Read More...
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Bioinformatics
Course Overview Course Description A series of 6 stand-alone lessons introducing learners to various aspects of bioinformatics. Lessons will be held on Tuesdays at 1 PM in June and July 2023. You can attend any class, just one Read More...
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Bioinformatics
Unix, what is it, and why should biologists take the time to learn it? The Unix operating system forms the basis of many bioinformatics analyses resources, such as the NIH High Performance Cluster (HPC) Biowulf/ Read More...
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Bioinformatics
A common question posed to the Bioinformatics Training and Education Program (BTEP) is “How can I learn R and Python to analyze my data?”. First, it’s important to state that learning any programming language Read More...
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Bioinformatics
Bioinformatics Training and Education Program 15 January – 15 February 2023 BTEP Bulletin Contact us at ncibtep@nih.gov FEATURED BIOINFORMATICS EVENTS Data Management Sharing: Part 1 and Part 2 DOE-NCI Collaboration: MOSSAIC for Advancing Computational Models for Cancer Research Variation Read More...
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Bioinformatics
Python is a programming language used in many different applications including data science. It is a high-level computer language, as the syntax is easily read and understood. Python is considered a beginner-friendly language. Python also Read More...
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Bioinformatics
This lesson provides an introduction to R in the context of single cell RNA-Seq analysis with Seurat. Learning Objectives Learn about options for analyzing your scRNA-Seq data. Learn about resources for learning R programming. Learn Read More...
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Bioinformatics
Introduction to ggplot2 Objectives Learn how to import spreadsheet data. Learn the ggplot2 syntax. Build a ggplot2 general template. By the end of the course, students should be able to create simple, pretty, and effective Read More...
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Bioinformatics
Scatter plots and plot customization Objectives Learn to customize your ggplot with labels, axes, text annotations, and themes. Learn how to make and modify scatter plots to make fairly different overall plot representations. Load a Read More...