Programming for Biologists Training Course
Basic biological knowledge about protein, RNA and DNA sequences.
Public Course Dates
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|2013-07-16 09:30||Bristol, Temple Gate||From 2100 to 3890 GBP Check!|
|2013-07-23 09:30||London, Chiswick||From 2100 to 3890 GBP Check!|
|2013-08-05 09:30||Manchester||From 2100 to 3890 GBP Check!|
|2013-09-02 09:30||Bristol, Temple Gate||From 1890 to 3501 GBP Check!|
|2013-09-02 09:30||London, Chiswick||From 1890 to 3501 GBP Check!|
|2013-09-23 09:30||Bristol, Temple Gate||From 1890 to 3501 GBP Check!|
|2013-10-07 09:30||Manchester||From 1890 to 3501 GBP Check!|
|2013-10-22 09:30||London, Chiswick||From 1890 to 3501 GBP Check!|
|2013-11-18 09:30||Bristol, Temple Gate||From 1890 to 3501 GBP Check!|
|2013-11-26 09:30||Manchester||From 1890 to 3501 GBP Check!|
This is a practical course, which shows why programming is a powerful tool in the context of solving biological problems. During the course participants will be taught the Python programming language, a language widely considered both powerful as well as easy to use. This course might be considered as a demonstration how bioinformatics improves biologists lives.
The course is designed and aimed for people without computer science background who want to learn programming.
This course is suited for:
- Researches dealing with biological data.
- Scientists who would like to learn how to automate everyday tasks and analyse data.
- Managers who want to learn how programming improves workflows and conducting projects.
By the end of the course, participants will be able to write short programs, which will allow them to manipulate, analyse and deal with biological data and present results in a graphical format.
Introduction to the Python programming language
- Why Python?
- Using Python to deal with biological data
- Working with the iPython shell
- Your first programme
- Writing Python scripts
- Importing modules
Working with protein and RNA/DNA sequences
- Finding motives
- Transcription and translation in silico
- Handling sequence alignments
Parsing data in different biological formats
- Parsing FASTA
- Data format conversions
Running biological analyses
- Accessing biological web services
Dealing with biological 3D structures using Python
Python facilitates statistical analysis
- Creating bar and scatter plots
- Calculating an Area Under Curve (AUC)
Working with .xls and .csv files
- Importing data from and exporting to MS Excel / OpenOffice Calc
- Writing .xls and .csv files