Notice
1.4. What is an algorithm?
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Descriptif
We have seen that a genomic textcan be indeed a very long sequence of characters. And to interpret this sequence of characters, we will need to use computers. Using computers means writing program. Writing program means designing first algorithm. So, let's see what an algorithm is. An algorithm is a series of operationsto be executed by a computer, but maybe also executed by ahuman, for solving a problem. In the first algorithm we will study in this session and next one, the problem will be to count the number of different of the four different nucleotides which appeared in the sequence. It's a sequence of operations. You may say that in everyday life,we have an example of algorithm with the recipe. But no,it's not totally correct. A recipe, the description of arecipe is not formal, explicit, precise enough to be an algorithm. There are too many approximations,too many shortcuts of language. For example, you have to put eggs in the bowl but it doesn't say that you have tobreak the eggs, first.
You don't have to throw the shells on the floor, for example.
Thème
Documentation
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RechenmannFrançoisWelcome to this introduction to bioinformatics. We will speak of genomes and algorithms. More specifically, we will see how genetic information can be analysed by algorithms. In these five weeks to
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1.10. Overlapping sliding window
RechenmannFrançoisWe have made some drawings along a genomic sequence. And we have seen that although the algorithm is quite simple, even if some points of the algorithmare bit trickier than the others, we were able to
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1.5. Counting nucleotides
RechenmannFrançoisIn this session, don't panic. We will design our first algorithm. This algorithm is forcounting nucleotides. The idea here is that as an input,you have a sequence of nucleotides, of bases, of letters,
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1.8. Compressing the DNA walk
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1.2. At the heart of the cell: the DNA macromolecule
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1.6. GC and AT contents of DNA sequence
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1.9. Predicting the origin of DNA replication?
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1.3. DNA codes for genetic information
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1.7. DNA walk
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1.7. DNA walk
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2.6. Algorithms + data structures = programs
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4.10. How efficient is this algorithm?
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1.1. The cell, atom of the living world
RechenmannFrançoisWelcome to this introduction to bioinformatics. We will speak of genomes and algorithms. More specifically, we will see how genetic information can be analysed by algorithms. In these five weeks to
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1.10. Overlapping sliding window
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2.3. The genetic code
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5.5. Differences are not always what they look like
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