Login

Remember

Register

Q&A
Unanswered
Tags
Categories
Ask a Question

Home
Bioinformatics
Through a single scoring matrix, evaluation of all the different possible configurations is done.

Through a single scoring matrix, evaluation of all the different possible configurations is done.

← Prev Question Next Question →

+1 vote

89 views

asked Sep 12, 2021 in Bioinformatics by nolan (111k points)

Through a single scoring matrix, evaluation of all the different possible configurations is done.

(a) True

(b) False

This question was addressed to me by my college professor while I was bunking the class.

The above asked question is from Minimum Free in section RNA Structure Prediction of Bioinformatics

bioinformatics
rna structure prediction
minimum free

Share it on

Facebook Twitter LinkedIn

Please log in or register to add a comment.

Please log in or register to answer this question.

1 Answer

+1 vote

answered Sep 13, 2021 by myra (687k points)
selected Sep 13, 2021 by nolan

Best answer

Right answer is (b) False

To explain: To evaluate all the different possible configurations and to find the most energetically favorable, several types of scoring matrices are used. The complementary regions are evaluated by a dynamic programming algorithm to predict the most energetically stable molecule. The method is similar to the dynamic programming method used for sequence alignment.

Please log in or register to add a comment.

Related questions

+1 vote

1 answer

In a SCFG, each production of a non-terminal symbol has an associated probability for giving rise to the resulting product, and there are a set of productions, each giving a different result.

asked Sep 12, 2021 in Bioinformatics by nolan (111k points)

bioinformatics
rna structure prediction
minimum free

+1 vote

1 answer

The increase depends on the type and length of loop that is introduced by the non-complementary base pair, whether internal loop, bulge loop, or hairpin loop.

asked Sep 12, 2021 in Bioinformatics by nolan (111k points)

bioinformatics
rna structure prediction
minimum free

+1 vote

1 answer

The use of SCFGs in RNA secondary structure production analysis is in fact very similar to that of the covariance model, with the grammatical productions resembling the nodes in the ordered binary tree.

asked Sep 12, 2021 in Bioinformatics by nolan (111k points)

bioinformatics
rna structure prediction
minimum free

+1 vote

1 answer

A general theory for modeling strings of symbols, such as bases in DNA sequences, has been developed by linguists. There is a hierarchy of these so-called transformational grammars that deal with situations of increasing complexity.

asked Sep 12, 2021 in Bioinformatics by nolan (111k points)

bioinformatics
rna structure prediction
minimum free

+2 votes

1 answer

The object is to find a diagonal row of matches that goes from upper left to lower right.

asked Sep 11, 2021 in Bioinformatics by nolan (111k points)

bioinformatics
rna structure prediction
minimum free

+1 vote

1 answer

The application of SCFGs to RNA secondary structure analysis is very similar in form to the probabilistic covariance models.

asked Sep 11, 2021 in Bioinformatics by nolan (111k points)

bioinformatics
rna structure prediction
minimum free

+1 vote

1 answer

______ regions in sequences, such as those in RNA that will form secondary structures, are an example of such context-free sequences.

asked Sep 11, 2021 in Bioinformatics by nolan (111k points)

bioinformatics
rna structure prediction
minimum free

+1 vote

1 answer

The sequence is listed down the first column of base comparisons’ table and free energy calculations’ table in the 5’→3’ orientation.

asked Sep 11, 2021 in Bioinformatics by nolan (111k points)

bioinformatics
rna structure prediction
minimum free

+2 votes

1 answer

Which of the following is incorrect about the prediction of RNA secondary structure?

asked Sep 11, 2021 in Bioinformatics by nolan (111k points)

bioinformatics
rna structure prediction
minimum free

+1 vote

1 answer

In 1971, first estimation of the energy associated with regions of secondary structure by extrapolation from studies with small molecules was done and then an attempt was made to predict which configurations of larger molecules were the most energetically stable.

asked Sep 12, 2021 in Bioinformatics by nolan (111k points)

bioinformatics
rna structure prediction
limitations of prediction

Share it on

Facebook Twitter LinkedIn

Welcome to TalkJarvis QnA, a question-answer community website for the people by the people. On TalkJarvis QnA you can ask your doubts, curiosity, questions and whatever going in your mind either related to studies or others. Experts and people from different fields will answer.

Most popular tags

biology – class 12 biology – class 11 construction & building materials chemistry – class 12 electronic devices & circuits network theory data structures & algorithms ii cell biology ic engine insurance finance money computational fluid dynamics engineering physics i discrete mathematics chemistry – class 11 aerodynamics casting-forming-welding i engineering mathematics operating system casting-forming-welding ii engineering drawing mysql engineering geology digital circuits wireless mobile energy management electrical measurements digital communications cyber security analytical instrumentation embedded systems electric drives cytogenetics advanced machining computer fundamentals life sciences basic civil engineering iot design of electrical machines physics – class 12 applied chemistry dairy engineering basic chemical engineering cloud computing microprocessor bioinformatics aircraft design aircraft maintenance software engineering drug biotechnology digital signal processing biochemistry data structures & algorithms i automotive engine design avionics engineering material & metallurgy energy engineering cognitive radio unix electrical machines biomedical instrumentation object oriented programming electromagnetic theory power electronics analog communications bioprocess engineering civil engineering drawing engineering metrology physics – class 11 mathematics – class 12 engineering chemistry i basic electrical engineering unit processes mongodb signals and systems cryptograph & network security hadoop mathematics – class 11 engineering physics ii html control systems engineering mechanics antennas analog circuits computer network java sql server javascript concrete technology chemical process calculation artificial intelligence design of steel structures c++ database management computer architecture engineering chemistry ii corrosion engineering chemical technology dc machines

Send feedback
About Us
Copyright
Privacy Policy
Terms of Use
Contact Us

Powered by TalkJarvis

...