Genomics and Proteomics MCQs

Welcome to our comprehensive collection of Multiple Choice Questions (MCQs) on Genomics and Proteomics, a fundamental topic in the field of Bioinformatics. Whether you're preparing for competitive exams, honing your problem-solving skills, or simply looking to enhance your abilities in this field, our Genomics and Proteomics MCQs are designed to help you grasp the core concepts and excel in solving problems.

In this section, you'll find a wide range of Genomics and Proteomics mcq questions that explore various aspects of Genomics and Proteomics problems. Each MCQ is crafted to challenge your understanding of Genomics and Proteomics principles, enabling you to refine your problem-solving techniques. Whether you're a student aiming to ace Bioinformatics tests, a job seeker preparing for interviews, or someone simply interested in sharpening their skills, our Genomics and Proteomics MCQs are your pathway to success in mastering this essential Bioinformatics topic.

Note: Each of the following question comes with multiple answer choices. Select the most appropriate option and test your understanding of Genomics and Proteomics. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

So, are you ready to put your Genomics and Proteomics knowledge to the test? Let's get started with our carefully curated MCQs!

Genomics and Proteomics MCQs | Page 10 of 12

Discuss
Answer: (d).The modifications in eukaryotic cells doesn’t include attachment of oligosaccharides or prosthetic groups to create mature proteins
Discuss
Answer: (b).It doesn’t use SVM approach
Q93.
It is important to use bioinformatics tools to predict sites for posttranslational modifications based on specific protein sequences. However, prediction of such modifications can often be difficult because the short lengths of the sequence motifs associated with certain modifications.
Discuss
Answer: (a).True
Q94.
To minimize false-positive results, a statistical learning process called support vector machine (SVM) can be used to increase the specificity of prediction.
Discuss
Answer: (a).True
Q95.
In a statistical learning process called support vector machine (SVM), a hyperplane is _____
Discuss
Answer: (a).a linear or nonlinear mathematical function
Q96.
A disulfide bridge is a unique type of _____ modification in which _____ bonds are formed between cysteine residues.
Discuss
Answer: (a).posttranslational, covalent
Q97.
Accurate prediction of _____ bonds may also help to predict the _____ dimensional structure of the protein of interest.
Discuss
Answer: (c).disulfide, three
Q98.
Only Advanced neural networks are used to discern long-distance pairwise interactions among cysteine residues.
Discuss
Answer: (b).False
Q99.
Cysteine doesn’t make predictions by building profiles.
Discuss
Answer: (b).False
Q100.
ExPASY contains a number of programs to determine posttranslational modifications based on MS molecular mass data.
Discuss
Answer: (a).True
Page 10 of 12