Bioconductor: Computational and Statistical Methods for the Analysis of Genomic Data

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

Bioconductor is an open source, open development software project to provide tools for the analysis and comprehension of high-throughput genomic data. It is based primarily on the R programming language.

Bioconductor provides training in computational and statistical methods for the analysis of genomic data. Courses and conference events are listed on the cited url.  You are welcome to use material from previous courses. However, you may not include these in separately published works (articles, books, websites). When using all or parts of the Bioconductor course materials (slides, vignettes, scripts) please cite the authors and refer your audience to the Bioconductor website.

Authoring Organization(s) Name: 
Bioconductor
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Data analysis
Data management
Genomics data
Programming
R software environment
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Life Sciences: Genetics and Genomics
Life Sciences: Microbiology
Medicine and Health Sciences: Biomedical Science
Created: 
Monday, January 1, 2001
Publisher - organization credited with publishing or broadcasting the learning resource: 
Bioconductor
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Collection - a group or set of items that comprise a single learning resource, e.g., a PDF version of a slide presentation, an audio file of the presentation and a textual representation of the oral transcription of the presentation.
Contact Organization(s): 
Bioconductor
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.
Target Audience - intended audience for which the learning resource was created: 
Data manager
Early-career research scientist
Graduate student
Mid-career research scientist
Research faculty
Undergraduate student
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)