CLC GENOMICS WORKBENCH INVISIBLE VERIFICATION
CLC GENOMICS WORKBENCH INVISIBLE SOFTWARE

Experimental verification of the RNA structure predictions in the molecular biology laboratory.Redesign and implement existing RNA structure prediction algorithms to make them more suitable for parallelization and distribution, and use the enhanced calculation capacity to predict the global RNA structures of virus genomes of HIV, SARS and bird flu.This architecture was designed to be a general-purpose distribution platform for bioinformatics algorithms, which is used in this specific project to perform large-scale RNA structure prediction.

CLC GENOMICS WORKBENCH INVISIBLE SOFTWARE

Creating a distributed and robust peer-to-peer software architecture for collaborative, distributed computation running on ordinary personal computers.

More specifically, the project consisted of the following sub-projects: In this project, the objective was to support biological research on viral RNA structure by utilizing local computing resources for distributed and collaborative bioinformatics computation and database search. This means that new, innovative methods must be developed that exploit the resources available for extensive calculations – for example grid computing. Data adapted from NCBI GenBank.īiological sequence analysis suffers from a fundamental problem, namely that the amount of biological data available is growing faster than the computational power given by Moore’s Law (see Figure 1).

The blue curve represents biological sequence data stored at Genbank given as the amount of base pairs sequenced divided by 100. the number of transistors on an integrated circuits. The red curve represents Moore’s Law, i.e. The project also studied how users can become aware of such an infrastructure, and designs the future technologies for biologist to use in the lab.įigure 1: Computer power versus biological sequence data. The “Collaborative Mini-Grids for Prediction of Viral RNA Structure and Evolution” project (in short: Mini-Grid project) aimed at designing a voluntary, peer-to-peer software architecture for executing parallelized bioinformatics algorithms, which makes research into RNA-based diseases like HIV, SARS, and bird flu more efficient than with current approaches.

Clc genomics workbench invisible