Nimble Protein Sequence Alignment in Grid (NPSAG)
نویسندگان
چکیده
In Bio-Informatics application, the analysis of protein sequence is a kind of computation driven science which has rapidly and quickly growing biological data. Also databases used in these applications are heterogeneous in nature and alignment of protein sequence using physical techniques is expensive, slow and results are not always guaranteed/accurate. So this application requires crossplatform, cost-effective and more computing power algorithm for sequence matching and searching a sequence in database. Grid is one of the most emerging technologies of cost effective computing paradigm for large class of data and compute intensive application which enables large-scale aggregation and sharing of computational data and other resources across institutional boundaries. We proposed the Grid architecture for searching of distributed, heterogeneous genomic databases which contained protein sequences to speed up the analysis of large scale sequence data and performed sequence alignment for residues match.
منابع مشابه
Biological sequence alignment on the computational grid using the GrADS framework
In spite of the existence of several Grid middleware projects, developing and executing programs on the computational Grid remains a user intensive process. The Grid Application Development Software (GrADS) project is working to make the Grid easy to use despite the dynamically changing status of Grid resources. Several software packages are being ported to the GrADS framework in order to guide...
متن کاملArchitectural Frame Work for Homology Modeling in Grid Environment
This paper shows how homology modeling works for given protein sequence and how it is implemented in grid environment. Homology modeling involves taking a known sequence with an unknown structure and mapping against a known structure of one or several similar protein. The quality of homology modeling is dependent on the quality of the sequence alignment and template structure. Based on this mod...
متن کاملA generalization of Profile Hidden Markov Model (PHMM) using one-by-one dependency between sequences
The Profile Hidden Markov Model (PHMM) can be poor at capturing dependency between observations because of the statistical assumptions it makes. To overcome this limitation, the dependency between residues in a multiple sequence alignment (MSA) which is the representative of a PHMM can be combined with the PHMM. Based on the fact that sequences appearing in the final MSA are written based on th...
متن کاملIn Silico Analysis of Primary Sequence and Tertiary Structure of Lepidium Draba Peroxidase
Peroxidase enzymes are vastly applicable in industry and diagnosiss. Recently, we introduced a new kind of peroxidase gene from Lepidium draba (LDP). According to protein multiple sequence alignment results, LDP had 93% similarity and 88.96% identity with horseradish peroxidase C1A (HRP C1A). In the current study we employed in silico tools to determine, to which group of peroxidase enzymes LDP...
متن کاملAn Application of the ABS LX Algorithm to Multiple Sequence Alignment
We present an application of ABS algorithms for multiple sequence alignment (MSA). The Markov decision process (MDP) based model leads to a linear programming problem (LPP), whose solution is linked to a suggested alignment. The important features of our work include the facility of alignment of multiple sequences simultaneously and no limit for the length of the sequences. Our goal here is to ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008