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Muniba Faiza

Muniba Faiza has 47 articles published.

An introduction to the predictors of pathogenic point mutations

in Algorithms/Softwares/Tools by

Single nucleotide variation is a change in a single nucleotide in a sequence irrespective of the frequency of the variation. Single nucleotide variants (SNVs) play a very important role in causing several diseases such as the tumor, cancer, etc. Many efforts have been made to identify the SNVs which were initially based on identifying non-synonymous mutations in coding regions of the genomes. Continue reading “An introduction to the predictors of pathogenic point mutations” »

How to install AutoDock Vina on Ubuntu?

in Softwares/Tools by

AutoDock Vina is one of the most popular software in Bioinformatics, known for the molecular docking simulations. I have already explained the docking procedure in my previous article. In this small tutorial, we will learn how to install AutoDock Vina on Ubuntu. Its installation on Ubuntu may be a tedious process, especially for the beginners due to the unfamiliarity of the Linux commands. It is expected to work on any version of Ubuntu, but make sure whether your system supports the 32- bit or 64- bit version. If you face any problem, then feel free to ask. Continue reading “How to install AutoDock Vina on Ubuntu?” »

SparkBLAST: Introduction

in Algorithms/Cloud Computing/Sequence Analysis by

The basic local alignment search tool (BLAST) [1,2] is known for its speed and results, which is also a primary step in sequence analysis. The ever increasing demand of processing huge amount of genomic data has led to the development of new scalable and highly efficient computational tools/algorithms. For example, MapReduce is the most widely accepted framework which supports design patterns representing general reusable solutions to some problems including biological assembly [3] and is highly efficient to handle large datasets running over hundreds to thousands of processing nodes [4]. But the implementation frameworks of MapReduce (such as Hadoop) limits its capability to process smaller data. Continue reading “SparkBLAST: Introduction” »

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