TLS Online TPP Program

#Question id: 757


_______________ a bacterial enzyme, uses the energy of ATP hydrolysis to introduce negative supercoiling into DNA hence removing positive supercoiling generated during replication.

#SCPH05 I Biotechnology
  1. nucleases

  2.  DNA polymerases

  3.  helicases

  4.  DNA gyrase

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TLS Online TPP Program

#Question id: 13087

#SCPH05 I Biotechnology

To express a yeast gene in E. coli, your task is to design a strategy to insert the yeast gene into the bacterial plasmid. Below is a map of the area of the yeast genome surrounding the gene in which you are interested.

 
The distance between each tick mark placed on the line above is 100 bases in length
Below are the enzymes you can use, with their specific cut sites shown 5’-XXXXXX-3’ 3’-XXXXXX-5’

 
The plasmid is 5,000 bases long and the two farthest restriction enzyme sites are 200 bases apart. The plasmid has an ampicillin resistance gene somewhere on the plasmid distal from the restriction cut sites.

                              
Which of the following restriction enzyme is the best choice for you use to design a way to get the insert into the vector?

TLS Online TPP Program

#Question id: 4758

#SCPH12 I Genetics

The allele l in human population is recessive lethal and x chromosome linked. If a female is heterozygous for l allele marries with normal male. What will be interpretation correct?

TLS Online TPP Program

#Question id: 4147

#SCPH28 | Zoology

Which one of the following antibiotics does not function by interfering with the translational process?

TLS Online TPP Program

#Question id: 2666

#SCPH06 I Botany

A cell does not want to waste energy synthesizing the amino acid arginine if arginine is present in its diet. Therefore, when arginine is present, it activates a repressor protein to prevent transcription of genes that code for enzyme to make arginine. This is an example of what type of regulation?

TLS Online TPP Program

#Question id: 27743

#Research Methodology

Linear Regression is the supervised machine learning model in which the model finds the best fit ___ between the independent and dependent variable.