Support

Support Options

  • Knowledge Base

    Find information on common questions and issues.

  • Support Messages

    Check on the status of your correspondences with members of the QUBES team.

Contact Us

About you
About the problem
Resource Image

Sequence Similarity: A Quick Introduction to Bioconductor

Author(s): Derek Edward Sollberger

UC Merced School of Natural Sciences

77 total view(s), 57 download(s)

Summary:

Following the Sequence Similarity exercises by Kleinschmit, et al., this tutorial will guide students in using the Bioconductor suite of R packages to likewise compute sequence similarity.

Description

In this bioinformatics adventure, we are going to continue to look amino acid sequences and compute similarity scores using the BLOSUM62 matrix, but we will take a glimpse at some of the tools that are available in the world of Bioconductor. This set of tasks are set after Exercise 3 in the Sequence Similarity materials

Bioconductor is a collection of R packages that has been built by several bioinformatics researchers to perform common calculations in their field. In their own words, ``Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, and an active user community.’’

 

Comments

There are no comments on this resource.