GitHub - mamutalib/Bio-informatics: Bio informatics course materials for NEUB students.

Bio-informatics

Bio-informatics for NEUB students
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Tutorial Question

Set-A

Question 1 ans:

a)False
b)True
c)True
d)True
e)false

Set-B

Question 1 ans

a)True
b)true
c)false
d)True
e)false

Bio Informatics Lab

DNA Counting

#include <bits/stdc++.h>
using namespace std;

int main(void) {
    string str;
    cin >> str;

    int len = str.size();
    int a = 0, c = 0, g = 0, t = 0;
    for(int i = 0; i<len; i++) {
        if(str[i] == 'A') a++;
        else if (str[i] == 'C') c++;
        else if (str[i] == 'G') g++;
        else if (str[i] == 'T') t++;
    }
    cout << "A: " << a << " C: " << c << " G: " << g << " T: " << t << endl;
    return 0;
}
// Sample input: ACGTATTC
//        Ouput: A: 2 C: 2 G: 1 T: 3

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DNA complementary

#include <bits/stdc++.h>
using namespace std;

void dnaComplementary(string str) {
    int len = str.length();
    for (int i = 0; i<len; i++) {
        if(str[i] == 'A'){
            str[i] = 'T';
        }
        else if(str[i] == 'T'){
            str[i] = 'A';
        }
        else if(str[i] == 'C'){
            str[i] = 'G';
        }
        else if(str[i] == 'G'){
            str[i] = 'C';
        }
    }
    for(int i =0; i<len; i++) {
        cout << str[i];
    }
}

int main() {
    string str;
    cin >> str;
    dnaComplementary(str);

}


/*
Sample input-output:
ACGTATTC
TGCATAAG
*/

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RNA Complementary

#include <bits/stdc++.h>
using namespace std;

void rnaComplementary(string str) {
    int len = str.length();
    for (int i = 0; i<len; i++) {
        if(str[i] == 'A'){
            str[i] = 'U';
        }
        else if(str[i] == 'U'){
            str[i] = 'A';
        }
        else if(str[i] == 'C'){
            str[i] = 'G';
        }
        else if(str[i] == 'G'){
            str[i] = 'C';
        }
    }
    for(int i =0; i<len; i++) {
        cout << str[i];
    }
}

int main() {
    string str;
    cin >> str;
    rnaComplementary(str);

}

/*
Sample input:AACGUAGGCUC
    output  :UUGCAUCCGAG
*/

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DNA Reversal

#include <bits/stdc++.h>
using namespace std;

void dnaReversal(string str) {
    int len = str.length();
    for (int i = len; i>=0; i--){
        if(str[i] == 'A'){
            str[i] = 'T';
        }
        else if(str[i] == 'T'){
            str[i] = 'A';
        }
        else if(str[i] == 'C'){
            str[i] = 'G';
        }
        else if(str[i] == 'G'){
            str[i] = 'C';
        }
    }
    for(int i = len; i>=0; i--) {
        cout << str[i];
    }
}

int main() {
    string str;
    cin >> str;
    dnaReversal(str);

}
/*

Sample input  : AACGTAGGCTC
        output: GAGCCTACGTT
*/

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DNA Transcription

#include <bits/stdc++.h>
using namespace std;

void transcriptDNA(string str) {
    int len = str.length();
    for (int i = 0; i<len; i++) {
                if(str[i] == 'T'){
            str[i] = 'U';
        }
    }
    for(int i =0; i<len; i++) {
        cout << str[i];
    }
}

int main() {
    string str;
    cin >> str;
    transcriptDNA(str);

}
/*

Sample input: AACGTAGGCTC
    output  : AACGUAGGCUC
*/

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Smith WaterMan Algorithm

#include <bits/stdc++.h>
using namespace std;

int main() {
    string ls="AGCT", rs="ATGCT";
    //cin >> ls >> rs;

    int row, col;
    row = ls.length()+1;
    col = rs.length()+1;

    int data[row][col];

    for (int i = 0; i<row; i++) {
        for (int j = 0; j<col; j++) {
            data[i][j] = 0;
        }
    }
    int match = 1 ,misMatch = -1,gap = -2;
    int lef_adj = 0, up_adj = 0, dia_adj = 0;

    for (int i = 1; i<row; i++) {
        for (int j = 1; j<col; j++) {
            lef_adj = data[i-1][j] + gap;
            if(lef_adj < 0) {
                lef_adj =0;
            }

            up_adj = data[i][j-1] + gap;
            if (up_adj < 0) {
                up_adj = 0;
            }

            if(ls[i-1] == rs[j-1]) {
                dia_adj = data[i-1][j-1]+match;
            }
            else {
                dia_adj = data[i-1][j-1]+misMatch;
            }

            data[i][j] = max(lef_adj, up_adj);
            data[i][j] = max(data[i][j], dia_adj);
        }
    }

     for (int i = 0; i<row; i++) {
        for (int j = 0; j<col; j++) {
            cout << data[i][j] << " ";
        }

        cout << "\n";
    }
    return 0;
}

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Needleman Algorithm

#include <bits/stdc++.h>
using namespace std;

int main() {
    string ls="AGCT", rs="ATGCT";

    int row, col;
    row = ls.length()+1;
    col = rs.length()+1;

    int data[row][col];

    for (int i = 0; i<row; i++) {
        for (int j = 0; j<col; j++) {
            data[i][j] = 0;
        }
    }

    for (int i = 0; i<1; i++) {
        for (int j = 1; j<col; j++) {
            data[i][j] = -j*2;
        }
    }
    for (int i = 0; i<row; i++) {
        for (int j = 0; j<1; j++) {
            data[i][j] = -i*2;
        }
    }


     for (int i = 0; i<row; i++) {
        for (int j = 0; j<col; j++) {
            cout << data[i][j] << " " ;
        }
        cout << endl;
    }


    int match = 1 ,misMatch = -1,gap = -2, lef_adj = 0, up_adj = 0, dia_adj = 0;

    for (int i = 1; i<row; i++) {
        for (int j = 1; j<col; j++) {

            lef_adj = data[i-1][j] + gap;

            up_adj = data[i][j-1] + gap;

            if(ls[i-1] == rs[j-1]) {
                 dia_adj = data[i-1][j-1]+match;
            }
            else {
                dia_adj = data[i-1][j-1]+misMatch;
            }

            data[i][j] = max(lef_adj, up_adj);
            data[i][j] = max(data[i][j], dia_adj);
        }
    }


    cout << endl;

     for (int i = 0; i<row; i++) {
        for (int j = 0; j<col; j++) {
            cout << data[i][j] << " ";
        }

        cout << "\n";
    }


    return 0;
}

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Edit Distance

#include <bits/stdc++.h>
using namespace std;

int main(void) {

    string str1,str2;
    int row,col;

    cin >> str1>> str2;

    row = str1.length()+1;
    col = str2.length()+1;
    int data[row][col];

    for(int i=0; i<row; i++){
        data[i][0] = i;
    }

    for( int j=0; j<col; j++){
        data[0][j] = j;
    }

    int up_adj, lft_adj, dig_adj;

    for( int i=1; i<row; i++)
    {
        for(int j=1; j<col; j++)
        {
            lft_adj = data[i-1][j] ;
            up_adj = data[i][j-1];
            dig_adj = data[i-1][j-1];

            if(str1[i-1] == str2[j-1])
            {
                data[i][j]= dig_adj;
            }
            else
            {
                data[i][j] = min(lft_adj+1 ,up_adj+1 );
                data[i][j] = min(data[i][j], dig_adj+1 );
            }
        }
    }

    for(int i = 0; i<row; i++) {
        for(int j = 0; j<col; j++) {
            cout << data[i][j] << " ";
        }
        cout << endl;
    }
    return 0;
}

Partial Digest Problem

#include<bits/stdc++.h>
using namespace std;

int arr[100];

vector<int>delX , X, vec;

void checking(int num)
{
    int i=0, diff=0, cnt = 0;

    int lenX = X.size();

    while(i < lenX)
    {
        //compute subtraction
        diff = abs(X[i] - num);

        if(arr[diff] > 0)
        {
            cnt += 1;

            vec.push_back(diff);
        }

        i++;
    }

    if(cnt == lenX)
    {
        for(i=0; i<vec.size(); i++)
        {
            arr[vec[i]]--;
        }

        X.push_back(num);
    }

    vec.clear();
}

int main()
{
    delX = {2, 2, 3, 3, 4, 5, 6, 7, 8, 10}; // the given multi set

    int i, j, diff=0, len = delX.size();

    sort(delX.begin(), delX.end()); // sorted the multi set

    X.push_back(0);
    X.push_back(delX[len-1]); // taken X and push back first two elements

    //count each number in the del X
    for(i=0; i<len; i++)
    {
        arr[delX[i]]++;
    }

//    for(i=0; i<len; i++)
//    {
//        cout << delX[i] << " " << arr[delX[i]] << "\n";
//    }

    i = 0 , j = 0;

    while(i < delX.size())
    {
        //checked the conditions
        checking(delX[i]);

        i++;
    }

    //sort the elements of the X
    sort(X.begin(), X.end());

    for(int i=0; i<X.size(); i++)
    {
        cout << X[i] << " ";
    }

    return 0;
}

HomoMetric

#include <bits/stdc++.h>

using namespace std;

typedef long long lg;

const lg N = 9; // BIG LOOOOOOOOOL 7

// lg ar[N][N];

int
main()

{
   bool flag = true;

   lg brk, n, j, t, k, h, i, m, ah, am, a, b, c, x, count;

   cin >> count;

   lg indata[count], indata2[count];

   lg ar[count][count];

   vector < lg > v, v2;

   for (i = 0; i < count; i++)

   {
      cin >> indata[i];
   }

   for (i = 0; i < count; i++)

   {
      cin >> indata2[i];
   }

   for (i = 0; i < count; i++)

   {
      for (j = 0; j < count; j++)

      {
         if (j > i)

         {
            ar[i][j] = indata[j] - indata[i];

            v.push_back(indata[j] - indata[i]);
         } else

            ar[i][j] = -1;
      }
   }

   // for output full matrix

   cout << "1st matrix :" << endl;

   for (i = 0; i < count; i++)

   {
      for (j = 0; j < count; j++)

      {
         cout << ar[i][j] << " ";
      }

      cout << endl;
   }

   lg sz = v.size();

   sort(v.begin(), v.end());

   cout << endl;

   // for x2

   cout << "2nd x2" << endl;

   for (i = 0; i < count; i++)

   {
      for (j = 0; j < count; j++)

      {
         if (j > i)

         {
            ar[i][j] = indata2[j] - indata2[i];

            v2.push_back(indata2[j] - indata2[i]);
         } else

            ar[i][j] = -1;
      }
   }

   cout << "2nd matrix :" << endl;

   for (i = 0; i < count; i++)

   {
      for (j = 0; j < count; j++)

      {
         cout << ar[i][j] << " ";
      }

      cout << endl;
   }

   sz = v2.size();

   sort(v2.begin(), v2.end());

   cout << endl;

   cout << "X1: ";

   for (i = 0; i < sz; i++)

   {
      cout << v[i] << " ";
   }

   cout << endl;

   cout << endl;

   cout << "X2: ";

   for (i = 0; i < sz; i++)

   {
      cout << v2[i] << " ";
   }

   cout << endl;

   cout << endl;

   flag = true;

   for (i = 0; i < sz; i++)

   {
      if (v[i] != v2[i])

      {
         cout << "Its not homomatric!" << endl;

         flag = false;

         break;
      }
   }

   if (flag)
      cout << "Its homomatric!" << endl;

   return 0;
}

Author: Kopil Das

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Getting Started

To get a local copy up and running, follow these simple steps:

Installation

This repo doesn't rely on any external dependencies or services. You can clone the repository by running the following command in your terminal:

1.Clone the repo

git clone https://github.com/mamutalib/Bio-informatics.git

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Contributing

Contributions to this project are greatly appreciated. If you have a suggestion that would make this project better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

Fork the Project
Create your Feature Branch (git checkout -b feature/YourFeatureName)
Commit your Changes (git commit -m 'Add some YourFeatureName)
Push to the Branch (git push origin feature/YourFeatureName)
Open a Pull Request

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

Md. Abdul Mutalib - Twitter - mutalibcse@yahoo.com

Project Link: https://github.com/mamutalib/Bio-informatics

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Acknowledgments

I gratefully acknowledge the valuable resources and tools that have helped me in my development work. These include open source licenses, cheat sheets, shields and icons, and platforms. Thank you to the developers and organizations who have contributed to the development community.

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Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
Edit-Distance		Edit-Distance
Final-Lab		Final-Lab
Needleman Algorithm		Needleman Algorithm
Partial Digest Problem		Partial Digest Problem
Smith Waterman Algorithm		Smith Waterman Algorithm
images		images
.gitignore		.gitignore
LICENSE.txt		LICENSE.txt
README.md		README.md
test.cpp		test.cpp

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Bio-informatics

Table of Contents

Tutorial Question

Set-A

Set-B

Bio Informatics Lab

DNA Counting

DNA complementary

RNA Complementary

DNA Reversal

DNA Transcription

Smith WaterMan Algorithm

Needleman Algorithm

Edit Distance

Partial Digest Problem

HomoMetric

Getting Started

Installation

Contributing

License

Contact

Acknowledgments

About

Packages

Languages

License

mamutalib/Bio-informatics

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Repository files navigation

Bio-informatics

Table of Contents

Tutorial Question

Set-A

Set-B

Bio Informatics Lab

DNA Counting

DNA complementary

RNA Complementary

DNA Reversal

DNA Transcription

Smith WaterMan Algorithm

Needleman Algorithm

Edit Distance

Partial Digest Problem

HomoMetric

Getting Started

Installation

Contributing

License

Contact

Acknowledgments

About

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Resources

License

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