OPTSDNA: Performance evaluation of an efficient distributed bioinformatics system for DNA sequence analysis

نویسندگان

  • Mohammad Ibrahim Khan
  • Chotan Sheel
چکیده

Storage of sequence data is a big concern as the amount of data generated is exponential in nature at several locations. Therefore, there is a need to develop techniques to store data using compression algorithm. Here we describe optimal storage algorithm (OPTSDNA) for storing large amount of DNA sequences of varying length. This paper provides performance analysis of optimal storage algorithm (OPTSDNA) of a distributed bioinformatics computing system for analysis of DNA sequences. OPTSDNA algorithm is used for storing various sizes of DNA sequences into database. DNA sequences of different lengths were stored by using this algorithm. These input DNA sequences are varied in size from very small to very large. Storage size is calculated by this algorithm. Response time is also calculated in this work. The efficiency and performance of the algorithm is high (in size calculation with percentage) when compared with other known with sequential approach.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Efficient Distributed Bioinformatics Computing System for DNA Sequence Analysis on Encoding System

This study provides an effective design of search technique of a distributed bioinformatics computing system for analysis of DNA sequences using OPTSDNA algorithm. This system could be used for disease detection, criminal forensic analysis, gene prediction, genetic system and protein analysis. Different types of distributed algorithms for the search and identification for DNA segments and repea...

متن کامل

gpALIGNER: A Fast Algorithm for Global Pairwise Alignment of DNA Sequences

Bioinformatics, through the sequencing of the full genomes for many species, is increasingly relying on efficient global alignment tools exhibiting both high sensitivity and specificity. Many computational algorithms have been applied for solving the sequence alignment problem. Dynamic programming, statistical methods, approximation and heuristic algorithms are the most common methods appli...

متن کامل

In silico cloning and bioinformatics study of Brucella melitensis Omp31 antigen in different mammalian expression vectors

Brucella melitensis, as a pathogenic gram-negative intracellular bacterium, causes brucellosis in animals and humans. According to literature, the B. melitensis outer membrane protein 31 (Omp31) is considered as an important vaccine candidate against brucellosis. The aim of the current study was to compare three different expression constructs containing B. melitensis Omp31 antigen using bioinf...

متن کامل

Comparative bioinformatics analysis of a wild diploid Gossypium with two cultivated allotetraploid species

Background: Gossypium thurberi is a wild diploid species that has been used to improve cultivated allotetraploid cotton. G. thurberi belongs to D genome, which is an important wild bio-source for the cotton breeding and genetic research. To a certain degree, chloroplast DNA sequence information are a versatile tool for species identification and phylogenetic implications in plants. Different ch...

متن کامل

Mathematical Analysis of Optimal Tracking Interval Management for Power Efficient Target Tracking Wireless Sensor Networks

In this paper, we study the problem of power efficient tracking interval management for distributed target tracking wireless sensor networks (WSNs). We first analyze the performance of a distributed target tracking network with one moving object, using a quantitative mathematical analysis. We show that previously proposed algorithms are efficient only for constant average velocity objects howev...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 9  شماره 

صفحات  -

تاریخ انتشار 2013