Behaviour of DNA Splicing Language Predictor

Recombinant DNA technology, joining two DNA molecules together to produce new genetic combinations is of value to medicine, agriculture and science industry. This new invention of software programming has been developed using Visual Basic in order to predict the number pattern of resulted molecules...

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Main Authors: Yuhani, Yusof, Wen, Li Lim, Norhayati, Rosli, Mohd Fariduddin, Mukhtar, Sahimel Azwal, Sulaiman
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/16102/1/CITREx-2015_2.pdf
http://umpir.ump.edu.my/id/eprint/16102/
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spelling my.ump.umpir.161022018-05-18T00:21:07Z http://umpir.ump.edu.my/id/eprint/16102/ Behaviour of DNA Splicing Language Predictor Yuhani, Yusof Wen, Li Lim Norhayati, Rosli Mohd Fariduddin, Mukhtar Sahimel Azwal, Sulaiman QA Mathematics Recombinant DNA technology, joining two DNA molecules together to produce new genetic combinations is of value to medicine, agriculture and science industry. This new invention of software programming has been developed using Visual Basic in order to predict the number pattern of resulted molecules after the cut and paste phenomenon of two double-stranded DNA, based on the theorems that have been formulated by using Y-G splicing system. In addtion, the characteristics of restriction enzymes in terms of palindromic and inverse complement properties are also determined. Also, the software programming can be utilized for scientists to determine the behaviour of resulted molecules such as whether a molecule can participate in further splicing or disappeared after the experiment has run through completion 2015-03 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/16102/1/CITREx-2015_2.pdf Yuhani, Yusof and Wen, Li Lim and Norhayati, Rosli and Mohd Fariduddin, Mukhtar and Sahimel Azwal, Sulaiman (2015) Behaviour of DNA Splicing Language Predictor. In: Creation, Innovation, Technology & Research Exposition (CITReX 2015) , 09-10 March 2015 , Universiti Malaysia Pahang. .
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Yuhani, Yusof
Wen, Li Lim
Norhayati, Rosli
Mohd Fariduddin, Mukhtar
Sahimel Azwal, Sulaiman
Behaviour of DNA Splicing Language Predictor
description Recombinant DNA technology, joining two DNA molecules together to produce new genetic combinations is of value to medicine, agriculture and science industry. This new invention of software programming has been developed using Visual Basic in order to predict the number pattern of resulted molecules after the cut and paste phenomenon of two double-stranded DNA, based on the theorems that have been formulated by using Y-G splicing system. In addtion, the characteristics of restriction enzymes in terms of palindromic and inverse complement properties are also determined. Also, the software programming can be utilized for scientists to determine the behaviour of resulted molecules such as whether a molecule can participate in further splicing or disappeared after the experiment has run through completion
format Conference or Workshop Item
author Yuhani, Yusof
Wen, Li Lim
Norhayati, Rosli
Mohd Fariduddin, Mukhtar
Sahimel Azwal, Sulaiman
author_facet Yuhani, Yusof
Wen, Li Lim
Norhayati, Rosli
Mohd Fariduddin, Mukhtar
Sahimel Azwal, Sulaiman
author_sort Yuhani, Yusof
title Behaviour of DNA Splicing Language Predictor
title_short Behaviour of DNA Splicing Language Predictor
title_full Behaviour of DNA Splicing Language Predictor
title_fullStr Behaviour of DNA Splicing Language Predictor
title_full_unstemmed Behaviour of DNA Splicing Language Predictor
title_sort behaviour of dna splicing language predictor
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/16102/1/CITREx-2015_2.pdf
http://umpir.ump.edu.my/id/eprint/16102/
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score 13.160551