Szkolenie Programming for Biologists
Czas trwania
32 godzin(y) (po 8h lekcyjnych dziennie)
W cenie szkolenia:
- efektywne szkolenie w małej grupie - średnio 4 osoby
- materiały szkoleniowe (przygotowane przez wykładowcę)
- książka powiązana tematycznie ze szkoleniem lub materiały drukowane
- certyfikaty w języku polskim i angielskim, e-certyfikat
- obiad
- catering (napoje i słodycze)
Terminy Szkoleń Otwartych
| Data rozpoczęcia | Miejscowość | Cena netto kursu | ||
|---|---|---|---|---|
| 2012-05-28 | Opole | od 3320 do 3900 PLN - zapisz się! | ||
| 2012-05-28 | Gliwice | od 3320 do 3900 PLN - zapisz się! | ||
| 2012-05-28 | Wrocław | od 3320 do 3900 PLN - zapisz się! | ||
| 2012-05-29 | Lublin | od 3320 do 3900 PLN - zapisz się! | ||
| 2012-05-29 | Częstochowa | od 3320 do 3900 PLN - zapisz się! | ||
| 2012-05-29 | Warszawa | od 3320 do 3900 PLN - zapisz się! | ||
| 2012-06-12 | Łódź | od 3320 do 3900 PLN - zapisz się! | ||
| 2012-06-12 | Gdańsk | od 3320 do 3900 PLN - zapisz się! | ||
| 2012-06-18 | Katowice | od 3320 do 3900 PLN - zapisz się! | ||
| 2012-06-19 | Poznań | od 3320 do 3900 PLN - zapisz się! |
Node ID: 24034
Charakterystyka kursu
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.
Zagadnienia omawiane na kursie
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
- BLAST
- Accessing biological web services
Dealing with biological 3D structures using Python
Python facilitates statistical analysis
Visualizing data
- 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
