“Bioinformatics Interview Questions and Answers will guide us now that Bioinformatics is the application of information technology and computer science to the field of molecular biology. The primary goal of bioinformatics is to increase our understanding of biological processes. So learn more about Bioinformatics with the help of this Bioinformatics Interview Questions with Answers guide”
The science of bioinformatics, which is the melding of molecular biology with computer science, is essential to the use of genomic information in understanding human diseases and in the identification of new molecular targets for drug discovery.
The sequencing of the human genome has just been completed and in the next two or three years I expect progress will be made in identifying the genes. Right now, we don’t even know how many genes we have! Also, in the next two or three years, we’ll be learning more about the structure and function of proteins in the cell. Hopefully, in the longer term we’ll be able to piece together that information to get a more complete picture of regulatory networks in the cell.
One chromosome of a pair is called homologue.In Homologous pair two identical chromosomes are present. Each one chromosome in a Homologous pair is called Homologue.
Accession number (bioinformatics), a unique identifier given to a biological polymer sequence (DNA, protein) when it is submitted to a sequence database.
There are three kinds of DNA sequences. Genomic DNA comes from the genome and includes both genes and extragenic material.
cDNA is reverse transcribed from mRNA and corresponds only to the expressed parts of the genome.
Recombinant DNA is man-made and is composed of artificial DNA.
Looking at what the academic world is publishing, microarray research is really hot right now, and people haven't quite figured out what the best way is (some might argue if we should even be trying) to store, process, and understand this data, but there are lots of interesting ideas.
Today, we can use computers to access much more biological data than ever before. You can learn a lot by analysing this data. For example, you can identify genes by comparing genomic data across organisms and identifying patterns in the data. Insights as to the structure of proteins can be obtained through computer analyses of the protein sequences. These approaches are a lot faster and a lot cheaper than relying solely on wet lab or X-ray crystallographic techniques. Of course, computational techniques are often not as reliable as getting the first-hand view of the molecules. Clearly, you need both worlds: you need to take advantage of the computer tools when you know the predictions are reliable and use the more expensive techniques (in the wet lab) when you can’t get away from it.
The mathematical, statistical and computing methods that aim to solve biological problems using DNA and amino acid sequences and related information is known as Bioinformatics.
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