Biotechnology and Biomedical Engineering
AMRITA VISHWA VIDYAPEETHAM
Introduction
In this lab, students will be able to learn and practice basics of R programming. Students can expand their skillset in R programming by reading and writing biological sequence data in R platform. Educating this will allow users to learn how to use R as an open source language for learning bioinformatics data processing. Specifically, this lab will help analyse biological sequence data using simple R code snippets. With the features such as flexibility, data handling and modelling capabilitie R programming has been a widely accepted software tools for bioinformatics. It also supports the creation and use of self-describing data structures. With the trends in data science, the lab focuses on FOSS implementations which can be further utilized as laboratory manual or reference material for life science students.
Introduction to the basics of R programming techniques in bioinformatics and bioscience data processing.
Retrieving public sequence databases
Use of computational tools to find sequences, analysis of protein and amino acid sequences without the need of many other software packages.
To retrieve biological sequence of different organisms and to identify regions for similarity for phylogenic analysis.
To study sequence alignment methods using R code snippets even for students without biology background.
Retrieving public sequence databases
Use of computational tools to find sequences, analysis of protein and amino acid sequences without the need of many other software packages.
To retrieve biological sequence of different organisms and to identify regions for similarity for phylogenic analysis.
To study sequence alignment methods using R code snippets even for students without biology background.
No reference books available.