In bioinformatics, a sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence of functional, structural, or evolutionary relationships between the sequences.

They may be used to demonstrate homology between a protein family and a distantly related member.

In bioinformatics, a sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence of functional, structural, or evolutionary relationships between the sequences.

In bioinformatics, a sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence of functional, structural, or evolutionary relationships between the sequences.

Sequence alignment is very widely used in the biological literature to demonstrate conserved regions in a protein alignment, which we assume to have great functional importance. They may also be used to demonstrate homology between a protein family and a distantly related member.

Global Alignment : Closely related sequences which are of same length are very much appropriate for global alignment. Here, the alignment is carried out from beginning till end of the sequence to find out the best possible alignment.

 

The Needleman-Wunsch algorithm (A formula or set of steps to solve a problem) was developed by Saul B. Needleman and Christian D. Wunsch in 1970, which is a dynamic programming algorithm for sequence alignment. The dynamic programming solves the original problem by dividing the problem into smaller independent sub problems. These techniques are used in many different aspects of computer science. The algorithm explains global sequence alignment for aligning nucleotide or protein sequences.

Global Alignment : Closely related sequences which are of same length are very much appropriate for global alignment. Here, the alignment is carried out from beginning till end of the sequence to find out the best possible alignment.

The Needle man-Wunsch algorithm (A formula or set of steps to solve a problem) was developed by Saul B. Needle man and Christian D. Wunsch in 1970, which is a dynamic programming algorithm for sequence alignment. The dynamic programming solves the original problem by dividing the problem into smaller independent sub problems. These techniques are used in many different aspects of computer science. The algorithm explains global sequence alignment for aligning nucleotide or protein sequences.

Sequence alignment is very widely used in the biological literature to demonstrate conserved regions in a protein alignment, which we assume to have great functional importance. They may also be used to demonstrate homology between a protein family and a distantly related member.

Md.Masud Rana

Id:171-15-1370

Global Alignment : Closely related sequences which are of same length are very much appropriate for global alignment. Here, the alignment is carried out from beginning till end of the sequence to find out the best possible alignment. The Needle man-Wunsch algorithm (A formula or set of steps to solve a problem) was developed by Saul B. Needle man and Christian D. Wunsch in 1970, which is a dynamic programming algorithm for sequence alignment. The dynamic programming solves the original problem by dividing the problem into smaller independent sub problems. These techniques are used in many different aspects of computer science. The algorithm explains global sequence alignment for aligning nucleotide or protein sequences.

A multiple sequence alignment (MSA) is a sequence alignment of three or more biological sequences, generally protein, DNA, or RNA. Multiple sequence alignment is often used to assess sequence conservation of protein domains, tertiary and secondary structures, and even individual amino acids or nucleotides.

To determine the similarity between two biological sequences we need to align the sequences.   

A multiple sequence alignment (MSA) is a sequence alignment of three or more biological sequences, generally protein, DNA, or RNA. ... Multiple sequence alignment is often used to assess sequence conservation of protein domains, tertiary and secondary structures, and even individual amino acids or nucleotides.

Sequence alignment is very widely used in the biological literature to demonstrate conserved regions in a protein alignment, which we assume to have great functional importance. They may also be used to demonstrate homology between a protein family and a distantly related member.

Global Alignment : Closely related sequences which are of same length are very much appropriate for global alignment. Here, the alignment is carried out from beginning till end of the sequence to find out the best possible alignment. The Needle man-Wunsch algorithm (A formula or set of steps to solve a problem) was developed by Saul B. Needle man and Christian D. Wunsch in 1970, which is a dynamic programming algorithm for sequence alignment. The dynamic programming solves the original problem by dividing the problem into smaller independent sub problems. These techniques are used in many different aspects of computer science. The algorithm explains global sequence alignment for aligning nucleotide or protein sequences.

Global Alignment : Closely related sequences which are of same length are very much appropriate for global alignment. Here, the alignment is carried out from beginning till end of the sequence to find out the best possible alignment.

Global Alignment : Closely related sequences which are of same length are very much appropriate for global alignment. Here, the alignment is carried out from beginning till end of the sequence to find out the best possible alignment.

Calculating a global aligment is a form of global optimization that "forces" the aligment to span the entire length of all query sequences. By contrast, local aligment identify regions of similarity within long sequences that are often widely divergent overall.

In bioinformatics, a sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence of functional, structural, or evolutionary relationships between the sequences.

In bioinformatics, a sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence of functional, structural, or evolutionary relationships between the sequences.Hence, Closely related sequences which are of same length are very much appropriate for global alignment.

(Sequence alignment is very widely used in the biological literature to demonstrate conserved regions in a protein alignment, which we assume to have great functional importance. They may also be used to demonstrate homology between a protein family and a distantly related member.)

• DNA and Proteins are based on linear sequences
  
• Information is encoded in these sequences
  
• All bioinformatics at some level comes back to matching sequences that might have some noise or variability
  

Why we need to align the sequences

Ans: 

Sequence alignment is very widely used in the biological literature to demonstrate conserved regions in a protein alignment, which we assume to have great functional importance. They may also be used to demonstrate homology between a protein family and a distantly related member.

Global Alignment : Closely related sequences which are of same length are very much appropriate for global alignment. Here, the alignment is carried out from beginning till end of the sequence to find out the best possible alignment.

Sequence alignment is very widely used in the biological literature to demonstrate conserved regions in a protein alignment, which we assume to have great functional importance. They may also be used to demonstrate homology between a protein family and a distantly related member.A multiple sequence alignment  is a sequence alignment of three or more biological sequences, generally protein, DNA, or RNA.Multiple sequence alignment is often used to assess sequence conservation of protein domains, tertiary and secondary structures, and even individual amino acids or nucleotides.

its very important for identify the parent /discover the evalotuionary relationship and functionality similary identified

Sequence alignment is very widely used in the biological literature to demonstrate conserved regions in a protein alignment, which we assume to have great functional importance. They may also be used to demonstrate homology between a protein family and a distantly related member.

Global Alignment : Closely related sequences which are of same length are very much appropriate for global alignment. Here, the alignment is carried out from beginning till end of the sequence to find out the best possible alignment.

The Needle man-Wunsch algorithm (A formula or set of steps to solve a problem) was developed by Saul B. Needle man and Christian D. Wunsch in 1970, which is a dynamic programming algorithm for sequence alignment. The dynamic programming solves the original problem by dividing the problem into smaller independent sub problems. These techniques are used in many different aspects of computer science. The algorithm explains global sequence alignment for aligning nucleotide or protein sequences.

We need to align the sequences to detecting similarities  between biological sequences .

 

In bioinformatics, a sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence of functional, structural, or evolutionary relationships between the sequences.Aligned sequences of nucleotide or amino acid residues are typically represented as rows within a matrix. Gaps are inserted between the residues so that identical or similar characters are aligned in successive columns. Sequence alignments are also used for non-biological sequences, such as calculating the distance cost between strings in a natural language or in financial data.

Sequence alignment is very widely used in the biological literature to demonstrate conserved regions in a protein alignment, which we assume to have great functional importance. They may also be used to demonstrate homology between a protein family and a distantly related member.

Sequence alignment is very widely used in the biological literature to demonstrate conserved regions in a protein alignment, which we assume to have great functional importance. They may also be used to demonstrate homology between a protein family and a distantly related member.

In bioinformatics, a sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence of functional, structural, or evolutionary relationships between the sequences.

A multiple sequence alignment (MSA) is a sequence alignment of three or more biological sequences, generally protein, DNA, or RNA. Multiple sequence alignment is often used to assess sequence conservation of protein domains, tertiary and secondary structures, and even individual amino acids or nucleotides.

Actually To determine the similarity between two biological sequences we need to align the sequences. 

In bioinformatics, a sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence of functional, structural, or evolutionary relationships between the sequences.

A multiple sequence alignment (MSA) is a sequence alignment of three or more biological sequences.

It,s very important for identify the parent /discover the evalotuionary relationship and functionality similary identified.

A sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence of functional, structural, or evolutionary relationships between the sequences.^[1] Aligned sequences of nucleotide or amino acid residues are typically represented as rows within a matrix. Gaps are inserted between the residues so that identical or similar characters are aligned in successive columns