Search Results for: Coursera

If you’re interested in a Coursera license, please see (https://bioinformatics.ccr.cancer.gov/btep/self-learning/) for information on obtaining a license. You will receive an invitation email (usually within 48 hours) from Coursera when Read More...

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...

Coursera Dataquest Visit the self learning resources page to request a Dataquest or Coursera license.

The Bioinformatics Training and Education Program is pleased to announce the Artificial Intelligence in Biomedical Research at NIH Seminar Series . Starting on Feb 29, these monthly events will be recorded and made available in the BTEP Read More...

BTEP Course Materials Glittr Coursera (Licenses available NIH wide.) ::: {.notes} There are so many excellent resources available to learn R. You can check out our class materials on the BTEP website. You can search for Read More...

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...

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...

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...

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...

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...

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...

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...

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...

Announcements are in the form of "news", including updated information about online learning resource licenses (Coursera, Dataquest) and available NGS analysis software packages (Partek Flow, Qlucore, Qiagen, etc.), and "bulletins". The Read More...

Tutorials and courses are easily accessible. Check out BTEP R course offerings {{Sdet}}{{Ssum}} BTEP R Course Documentation{{Esum}} R Introductory Series Data Visualization with R Data Wrangling with R {{Edet}} Check out the NIH Read More...

12/17/2024 - In this one-hour session we will describe resources available to NIH researchers for performing bioinformatics data analysis. These include trainings by specific groups or institutes (NCI, NIH Library, ODSS), licenses available for online learning ( Read More...

(Inspired by Visualizing Data in the Tidyverse, a Coursera lesson) Consider whether the plot type you have chosen is the best way to convey your message Make your plot visually appealing Careful color selection - Read More...

(Inspired by Visualizing Data in the Tidyverse, a Coursera lesson) Consider whether the plot type you have chosen is the best way to convey your message Make your plot visually appealing Careful color selection - Read More...

Coursera is an online learning platform that provides access to diverse courses from over 200 organizations, including universities and businesses. While they offer some free content, a license is required to explore most of the content. Read More...

ggplot2 is a popular package for data visualization. We learned how to create a plot, change plot types, and add layers for further customization. The best way to learn ggplot2 is to use ggplot2. Use Read More...

ggplot2 is a popular package for data visualization. We learned how to create a plot, change plot types, and add layers for further customization. The best way to learn ggplot2 is to use ggplot2. Use Read More...

Dataquest is an online learning platform devoted to teaching data science and programming skills. Courses are organized in paths (career paths or skill paths) that guide you through a variety of lessons to obtain a Read More...

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...

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...

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...

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...

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...

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...

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...

NIH Bioinformatics Calendar, sponsored by the NCI CCR Bioinformatics Training and Education Program (BTEP), contains information on all bioinformatics (and some data science) trainings/ presentations/ classes offered on the NIH campus. BTEP Distinguished Speakers Seminar Read More...

Listed below are the video recordings of past BTEP events (classes, seminars, workshops). Videos are hosted on various servers and may play slightly differently. Some videos may be downloaded for local viewing. Recorded Videos of Read More...

Congratulations, your experiments have been completed and you have a large amount of data. Now, it’s time to analyze these data. But where do you begin? How can you gain the most meaning from Read More...

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...

Objectives Review the grammar of graphics template. Learn about the statistical transformations inherent to geoms. Learn more about fine tuning figures with labels, legends, scales, and themes. Learn how to save plots with ggsave() . Review Read More...

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...

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...

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...

Objectives Review the grammar of graphics template. Learn about the statistical transformations inherent to geoms. Learn more about fine tuning figures with labels, legends, scales, and themes. Learn how to save plots with ggsave() . Review Read More...