Gene prediction and counting Gene prediction is an important problem for computational biology and there are various algorithms that do gene prediction using known genes as a training data set. The following table shows Genome size and gene predictions between several organisms.Organism No.of chromo somesGenome size in base pairsThe Number of predicted genesPart of the genome that encodes for proteinBacteria Escherichia coli1500,000500090%Yeast Saccharomyces cerevisiae1612,068,000634070%Worm Caenorhabditis elegans6100,000,00019,00027%Fly Drosophila melanogaster4175,000,000196,000,00013,60020%Weed Arabidopsis thaliana5157,000,00025,49820%Human Homo sapiens233,000,000,00020,000 - 25,000<5%Based on your observation and analysis, answer the following questions.1. Even if we know where the genes are in a given genome, it‟s difficult to count them due to A. splice Variants B. overlapping genes C. exons D. Both A and B2. Which organism has the maximum part of the genome coding for the proteins? A. Escherichia coli B. Saccharomyces cerevisiae C. Caenorhabditis elegans D. Drosophila melanogaster3. Part of the genome that encodes for protein in Homo sapiens is less than 5 % , one of the probable reason/s for this could be A. Repeated Sequence B. Exons C. Both “a” and “ b” D. SNP‟s 4. The relationship between number of chromosomes and genome size in base pairs is A. direct B. indirect C. no relationship D. correlation of 0.55. Computational Gene prediction is referred to as A. In –silico Gene prediction B. In –Vivo Gene prediction C. In - vitro Gene prediction D. Microarray prediction6. After observing the table, it seems that the relationship between the intuitive complexity of an organism and the number of genes in its genome is A. No simple correlation B. Simple correlation C. Inverse correlation D. Depending on the organism, can be simple or Inverse