https://github.com/ghazaleze/biology-meets-programming

some codes of the "Biology Meets Programming" course from Coursera
https://github.com/ghazaleze/biology-meets-programming

bioinformatics coursera

Last synced: about 1 month ago
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some codes of the "Biology Meets Programming" course from Coursera

• Host: GitHub
• URL: https://github.com/ghazaleze/biology-meets-programming
• Owner: GhazaleZe
• Created: 2020-03-20T16:23:57.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2021-04-26T11:00:37.000Z (over 3 years ago)
• Last Synced: 2023-03-05T01:19:17.097Z (almost 2 years ago)
• Topics: bioinformatics, coursera
• Language: Python
• Homepage:
• Size: 52.7 KB
• Stars: 5
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Biology Meets Programming 

My codes of the Coursera's course named "Biology Meets Programming: Bioinformatics for Beginners"  are in this repository. 

These files are for the first week :blush: :

- hidden_messages_dictionary.py

- ReverseComplement.py 

- PatternMatching.py

- PatternInRegion.py

These files are for the second week :smile: :

- SymbolArray.py

- SkewArray.py

- HammingDistance.py

- ApproximatePatternMatching.py

These files are for the third week :grimacing: :

- Motifs.py  

- Consensus.py     

- Score.py      

- probability.py    

- ProfileMostProbablePattern.py    

- GreedyMotifSearch.py



These files are for the fourth week :heart_eyes: :

- RandomizedMotifSearch.py

- Motif_Week4.py

- Normalize.py

- RandomizedMotifSearch.py

- ProfileGeneratedString.py

- RandomMotifs.py

- GibbsSampler.py

### Some additional notes:

**Laplace’s Rule of Succession** is used for  **CountWithPseudocounts** function.   

**RandomizedMotifSearch** has the advantage of being able to find **longer motifs**.

> Just don't forget to be happy :wink: