Bioinformatics Course Lecture 2 PDF

Bioinformatics Course Lecture 2 Anatomy of Bioinformatics Bioinformatics  Operating system (OS), program that manages a computer's resources, especially the allocation of those resources among other programs. Typical resources include the central processing unit (CPU), computer mem...

Bioinformatics Course Lecture 2 Anatomy of Bioinformatics Bioinformatics  Operating system (OS), program that manages a computer's resources, especially the allocation of those resources among other programs. Typical resources include the central processing unit (CPU), computer memory, file storage, input/output (I/O) devices, and network connections. An operating system is software that manages all of the hardware resources associated with your desktop or laptop. To put it simply, the operating system manages the communication between your software and your hardware. Without the operating system (OS), the software wouldn’t function. Windows, Linux, Macintosh Operating system (OS), program that manages computer resources, especially the allocation of those resources among other programs. Typical resources include the central processing unit (CPU), computer memory, file storage, input/output (I/O) devices, and network connections. Just like Windows, iOS, and Mac OS, Linux is an operating system. In fact, one of the most popular platforms on the planet, Android, is powered by the Linux operating system. Just like Windows, iOS, and Mac OS, Linux is an operating system. In fact, one of the most popular platforms on the planet, Android, is powered by the Linux operating system. For example, Linux has emerged as a popular OS for web servers as well as for network operations, scientific computing tasks that require huge compute clusters, running databases, desktop and endpoint computing, and running mobile devices with OS versions like Android. Graphical User Interface (GUI) Command Line Python is an interpreted high-level general- purpose programming language. Excellent graphical tools using R: i.e. Gene Expression Role of statistics in Bioinformatics The goal of statistical bioinformatics is to statistically identify significant changes in biological processes (e.g., changes in DNA sequence, quantitative trait locus identification, differential expression of genes, or changes in protein abundance) for the purpose of answering biological questions. Bioinformaticists use statistical principles and quantitative data, but much of their work also incorporates elements of computer programming. A large part of the profession involves developing new software and computer tools to collect and understand data that existing tools might be unable to handle It provides help in: - Experimental design and sample size - Data sampling - Data presentation - Data Analysis: significance of the results - Data Classification and clustering - Quality Control - Prediction Models - etc Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information Input Output Summary... Bioinformatics is the application of computer technology and statistics to the management and analysis of biological information. Bioinformaticians use computers to gather, store, analyze, and integrate biological information. Many of the recent ground-breaking discoveries in biology, chemistry, environmental sciences, and other research areas are rooted in bioinformatics Some of these developments have potentially contributed towards the progression of biological research in general but also facilitated the progress of new scientific domains such as molecular medicine, targeted gene therapy, and in silico drug design,.etc State-of-the-art bioinformatics programs used in highthroughput sequence analysis allows researchers to accurately monitor and identify the minute genomic alterations on genes