transcribe dna sequence

DNA sequence Time Limit: 15000/5000 MS (Java/others) memory limit: 32768/32768 K (Java/Others) Total submission (s): 721 accepted submission (s): 349 problem descriptionthe twenty-first century is a biology-technology developing century. we know that a gene is made of DNA. the nucleus otide bases from which DNA is buil

This is a mountain hkust classmate gave me a question, ask me the idea, for mathematical modeling, I do not have much understanding, so can only use computer program method to answer.This is the specific question:This problem comes from the K-mer index problem of DNA sequences.given a DNA sequence, this series contains only 4 letter ATCG, such asS ="Ctgtactgtat".

Industry standard software for DNA sequence analysis of sequencher_v4.1.4Sequencher is the industry standard software for DNA sequence analysis. It works with all automated sequence analysers and is known for its fast Contig assembly, short learning curve, user-friendly edit

Test instructionsWe learned in biology class thatthere are only A, C, T and G four fragments of DNA sequence. After scientific discovery, theDNA sequence contains certain fragments that produce bad genes, such as fragment "ATC" is a bad fragment , then "ATCC", "CATCAA", " ATC ATC "are bad DNA sequences, these bad fragm

"Huawei OJ" "Algorithm Total chapter" "Huawei OJ" "089-dna series" "Project Download" topic description一个DNA序列由A/C/G/T四个字母的排列组合组成。G和C的比例（定义为GC-Ratio）是序列中G和C两个字母的总的出现次数除以总的字母数目（也就是序列长度）。在基因工程中，这个比例非常重要。因为高的GC-Ratio可能是基因的起始点。给定一个很长的DNA序列，以及要求的最小子序列长度，研究人员经常会需要在其中找出GC-Ratio最高的子序列。Enter a description输入一个string型基因序列，和int型子串的长度Output description找出GC比例最高的字串Input example

Title Link: http://poj.org/problem?id=2778Test instructions: There is a disease in the M DNA sequence, asking how many DNA sequences of length n do not contain any kind of disease-containing DNA sequences. (A,t,c,g four characters only)Idea: Trie diagram of the state transfer, with the Matrix Mat[i][j] to represent fro

In bioinformatics analysis, a series of operations are often performed on DNA sequences, including sub-sequence interception, complementary sequence acquisition, reverse sequence acquisition, and reverse complementary sequence acquisition. In the Python language, you can wri

]]; } } } //find the template from the text string;Matrix Find () {matrix ans; for(inti =0; I ){ if(Val[i] | | last[i])Continue;//Legal can for(intj =0; J 4; j + +) {//each node can generate 4 nodesintv =Ch[i][j]; if(Val[v] | | last[v])Continue; ANS.D[I][V]++; ///can also indicate that there are several ways of representing the node I to the node V; } } returnans; }}ac;Charp[ the];intMain () {ll n,m; //freopen ("Data.txt", "R", stdin); //freopen

This is a great problem. The application of AC automata in the construction transfer diagram DFAThe DFA transfer diagram is a diagram showing the state of the transfer process, and the DFA diagram can be used to find out the number of any DNA length, any stateTo find out the DFA matrix using automata, there| DP[N][0] dp[n][1] [... dp[n][m] |=|dp[1][0] dp[1][1] ... dp[1][m] | * dfa^ (n-1) (M refers to the total number of States)DP boundary Matrix |dp[1

Description We already know that the DNA sequence is composed of four elements: A, T, C, and G. Now you work on the given Biological DNA sequence, we want to know whether another virus DNA sequence exists in this

Bioinformatics principles of Operation IV-bomb: DNA sequence assembly (greedy algorithm)Principle: Bioinformatics (Sun Yu)General idea:1. Find the most weighted edge;2. Remove the edge with the starting vertex as the maximum weight edge;3. Remove the edge at the end of the maximum weighted edge;4. Repeat the above steps to obtain all eligible edges;5. Stitching the resulting edges;6. Join the outlier (if an

Note: A dna sequence is ring, which means that the sequence with N bases has n Representation Methods (assuming there is no repetition ). The N sequences have a minimum representation, which means that the Lexicographic Order of the sequence is the smallest (the Lexicographic Order means the size of the dictionary, suc

The method is simple, with count on it,With open (r'D:\Rosalind\rosalind_dna.txt','R') as F: forNucleotideinchf.readlines (): Num_a= Nucleotide.count ("A") Num_g= Nucleotide.count ("G") Num_c= Nucleotide.count ("C") num_t= Nucleotide.count ("T") Print("The numbers of ' A ' ====>"+str (num_a))Print("The numbers of ' G ' ====>"+str (num_g))Print("The numbers of ' C ' ====>"+str (num_c))Print("The numbers of ' T ' ====>"+ str (num_t))To find the content of each base in

} - returnR; the } the intMain () { the intm;94 intN; the while(SCANF ("%d%d", n,m)! =EOF) { the ac.clear (); the for(intI=0; i){98scanf"%s", s); About Ac.insert (s); - }101 ac.build ();102Matrix a=Matrix (AC. L);103 for(intI=0; I)104 for(intj=0;j4; j + +) the if(ac.end[ac.next[i][j]]==-1)106a.mx[i][ac.next[i][j]]++;107A=powm (a,m);108 intans=0;109 for(intI=0; i) theAns= (ans+a.mx[0][i])%MOD;111printf"%d\n",