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Bioinformatics
Bioinformatics
Bioinformatics is the branch of life
science that deals with the use of
mathematical, statistical and computer
methods to analyze biological and
biochemical data.
Is the branch of life sciences that deals
with the research, development &
application of computer software/tools to
Acquire, Store, Organize, Analyze
Biological data (NIH).
Bioinformatics
MAJOR CHALLENGE IN BIOLOGY
Make sense of enormous quantity of
Biological data
PROTEOMICS
Bioinformatics
FOCUS OF BIOINFORMATICS
“use computer data bases and
Algorithms to analyze Nucleic acids and
amino acids sequences of DNA and
proteins”
Bioinformatics
ARTIFICIAL GENE ANALYZER (AGA)
“Multifunctional Bioinformatics tool
that helps the users to analyze
overwhelming amount of DNA
Sequences in due limits of time”
Bioinformatics
USES OF (AGA)
With the advent of various high throughput
technologies in molecular biology, the
accumulated biological data grow ever rapidly.
It long ago became impractical to analyze DNA
sequences manually.
Today, computer programs are used.
Bioinformatics
Features of AGA
MUTATIONAL ANALYZER
To quickly find out the Mutation in the genes that
causes the monogenic disease.
VIRTUAL TRANSCRIPTOR
To swiftly Transcribe the DNA coding strand into
mRNA
VIRTUAL TRANSLATOR
To Translate the DNA coding strand into Protein
EVOLUTIONARY DISTANCE PREDICTOR
To rapidly find out the Evolutionary distance
between two DNA coding strands
DNA LENGTH FINDER
Bioinformatics
Features of AGA
ORF Predictor
To find out the Open Reading Frame (ORF) of the
Inserted DNA coding sequence
Global Alignment
To compare the two DNA coding strands (Global
Alignment)
Bioinformatics
Features of AGA
Mutational Analyzer
Mutations are changes to the nucleotide sequence of
the genetic material of an organism that might place
the organism at risk. Point Mutations Change of one
nucleotide base. (A ↔ G) or (C ↔ T). These are
frequently Observed Mutations.
Insertions add one or more extra nucleotides into the
DNA. They are usually caused by transposable
elements.
Deletions remove one or more nucleotides from the
DNA. Like insertions, these mutations can alter the
reading frame of the gene.
Bioinformatics
Features of AGA
Virtual Transcriptor
Transcription is the synthesis of RNA under the
direction of DNA.
The AGA assist the molecular Biologists to quickly
transcribe the inserted DNA coding strand and also to
display the number of the contents of the resultant
mRNA.
Bioinformatics
Features of AGA
Virtual Translator
Translation is the first stage of protein biosynthesis.
Bioinformatics
Features of AGA
Each of those triplets codes for a specific amino acid.
AGA translate the inserted DNA coding strand into
resultant protein.
Where optionally each amino-acid will be represented
by three letters symbol with different color based on
their chemical properties.
Bioinformatics
Features of AGA
Bioinformatics
Features of AGA
Evolutionary Distance Predictor
The cumulative evolutionary change between two DNA
or protein sequences that were derived from a
common ancestral sequence.
The AGA would expected to assists evolutionary-
biologists to: find out the evolutionary distance b/w two
DNA sequences by measuring changes in their DNA
Bioinformatics
Features of AGA
Open reading Frame Finder
An open reading frame is a portion of an organism's
genome which contains a sequence of bases that
could potentially encode a protein.
AGA not only find out the all the ORF (even very small)
Display these ORFs in it’s distinctive user frank style.
Subscribe!

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Bioinformatics introduction

  • 2. Bioinformatics Bioinformatics is the branch of life science that deals with the use of mathematical, statistical and computer methods to analyze biological and biochemical data. Is the branch of life sciences that deals with the research, development & application of computer software/tools to Acquire, Store, Organize, Analyze Biological data (NIH).
  • 3. Bioinformatics MAJOR CHALLENGE IN BIOLOGY Make sense of enormous quantity of Biological data PROTEOMICS
  • 4. Bioinformatics FOCUS OF BIOINFORMATICS “use computer data bases and Algorithms to analyze Nucleic acids and amino acids sequences of DNA and proteins”
  • 5. Bioinformatics ARTIFICIAL GENE ANALYZER (AGA) “Multifunctional Bioinformatics tool that helps the users to analyze overwhelming amount of DNA Sequences in due limits of time”
  • 6. Bioinformatics USES OF (AGA) With the advent of various high throughput technologies in molecular biology, the accumulated biological data grow ever rapidly. It long ago became impractical to analyze DNA sequences manually. Today, computer programs are used.
  • 7. Bioinformatics Features of AGA MUTATIONAL ANALYZER To quickly find out the Mutation in the genes that causes the monogenic disease. VIRTUAL TRANSCRIPTOR To swiftly Transcribe the DNA coding strand into mRNA VIRTUAL TRANSLATOR To Translate the DNA coding strand into Protein EVOLUTIONARY DISTANCE PREDICTOR To rapidly find out the Evolutionary distance between two DNA coding strands DNA LENGTH FINDER
  • 8. Bioinformatics Features of AGA ORF Predictor To find out the Open Reading Frame (ORF) of the Inserted DNA coding sequence Global Alignment To compare the two DNA coding strands (Global Alignment)
  • 9. Bioinformatics Features of AGA Mutational Analyzer Mutations are changes to the nucleotide sequence of the genetic material of an organism that might place the organism at risk. Point Mutations Change of one nucleotide base. (A ↔ G) or (C ↔ T). These are frequently Observed Mutations. Insertions add one or more extra nucleotides into the DNA. They are usually caused by transposable elements. Deletions remove one or more nucleotides from the DNA. Like insertions, these mutations can alter the reading frame of the gene.
  • 10. Bioinformatics Features of AGA Virtual Transcriptor Transcription is the synthesis of RNA under the direction of DNA. The AGA assist the molecular Biologists to quickly transcribe the inserted DNA coding strand and also to display the number of the contents of the resultant mRNA.
  • 11. Bioinformatics Features of AGA Virtual Translator Translation is the first stage of protein biosynthesis.
  • 12. Bioinformatics Features of AGA Each of those triplets codes for a specific amino acid. AGA translate the inserted DNA coding strand into resultant protein. Where optionally each amino-acid will be represented by three letters symbol with different color based on their chemical properties.
  • 14. Bioinformatics Features of AGA Evolutionary Distance Predictor The cumulative evolutionary change between two DNA or protein sequences that were derived from a common ancestral sequence. The AGA would expected to assists evolutionary- biologists to: find out the evolutionary distance b/w two DNA sequences by measuring changes in their DNA
  • 15. Bioinformatics Features of AGA Open reading Frame Finder An open reading frame is a portion of an organism's genome which contains a sequence of bases that could potentially encode a protein. AGA not only find out the all the ORF (even very small) Display these ORFs in it’s distinctive user frank style.