Difference between revisions of "Team:Heidelberg/internal tools"

(Bugfixes, warning about mutation rates > 1)
Line 644: Line 644:
 
     //calculate
 
     //calculate
 
     if(phi*tt==0){
 
     if(phi*tt==0){
         a_mutations = ng * mr;
+
         a_mutations = 1 - Math.pow((1 - mr), ng);
 
         ng_out = "";
 
         ng_out = "";
 
     }
 
     }
 
     else{
 
     else{
         a_mutations = mr * tt*phi;
+
         a_mutations = 1 - Math.pow((1 - mr), tt*phi);
 
         ng = tt*phi;
 
         ng = tt*phi;
 
         ng_out = "The conditions result in " + ng + " generations."
 
         ng_out = "The conditions result in " + ng + " generations."

Revision as of 15:18, 21 September 2017

WikitemplateA home - 2014.igem.org

 

WikitemplateA home

From 2014.igem.org

Internal Tools

Number of mutations and mutated sequences

Expected number of mutations in a single sequence: $$p_{m} = \frac{N_{mutations}}{L_{Sequence}} = N_{generations} \cdot r_{mutation} = t_{total} \cdot \Phi \cdot r_{mutation}$$

The expected share of sequences that shows at least one mutation in \(L_{Sequence}\) bp is the probability that \(L_{sequence}\) basepairs stay unchanged when \(\frac{N_{mutations}}{L_{Sequence}}\) mutations are expected: $$p_{M} = \frac{N_{mutated}}{N_{Sequences}} = 1 - p(N_{mutations}=0) = 1 - (1-p_{m})^{L_{Sequence}} $$

With this equation we can also calculate the number of sequences \(N_{Sequences}\) that have to be sequenced in order to find a mutated one with a probability of \(p(N_{mutated} > 0)\). $$ N_{Sequences} = \frac{p(N_{mutated} > 0)}{p_{M}} $$

The probability to find at least one mutated sequence under the given conditions is $$p(N_{mutated}>0) = 1 - (1-p_{M})^{N_{sequences}}$$ which gives $$N_{Sequences} = \frac{ln(1-p(N_{mutated}>0))}{ln(1-p_{M})}$$

Set \(\Phi\) to zero to use the number of generations for the calculation. If \(\Phi\) and the number of generations are given, \(\Phi\) is used.

Consider \(L_{Sequence}\) as the number of basepairs that is expected to be mutated. If half of the sequence you are interested in, is highly conserved choose a lower \(L_{Sequence}\).

Get your mutations


\(p_{m} =\) %(bp/bp).

\(N_{mutations} =\) bp per sequence.

The share of sequences that shows at least one mutation in \(L_{Sequence}\) bp is \(p_{M}=\) % of sequences