Computational biology

application in many different fields of study, we can now theoretically test out the hypothesis before proceeding with the practical experiment. Computational biology, as it is termed, is paving the path towards achieving this. With the success of the human genome project, the need for biologists equipped with the ability to look at diseases from a computational and mathematical standpoint

Python: An Emerging Tool in Computational Biology and Bioinformatics Xudong Luan Harrisburg University of Science and Technology Harrisburg, PA, USA Abstract—This research paper reviews journal articles in the domain of using Python for Computational Biology and Bioinformatics and demonstrates a Python project to mine any DNA sequence and display the results. Keywords—Computational Biology; Bioinformatics; Python; Biopython; Matplotlib; DNA Mining I. INTRODUCTION Biologists and life science

Systems biology integrates computational modelling with experimental techniques in order to better understand the function of living organisms, the regulation of their cellular processes and how these cells react to environmental perturbations [1]. Among the different computational approaches, kinetic modelling gives the most detailed representation of the biological system. These models build on the stoichiometry of the reactions, incorporating the dynamic interactions between different components

today on life sciences have a last-author, who is mostly a computational biologist. The last-author may not actively involve in the research, but has contributed in more fundamental and important areas, without which the experiment might remain invalid and thus unpublished. What do the computational biologists do? What important thing(s) they added to research paper that make the papers valid? The least and most simple thing that the computational biologists do is biostatistics. A validity of biological

Artificial Intelligence Computers are everywhere today. It would be impossible to go your entire life without using a computer. Cars, ATMs, and TVs we use everyday, and all contain computers. It is for this reason that computers and their software have to become more intelligent to make our lives easier and computers more accessible. Intelligent computer systems can and do benefit us all; however people have constantly warned that making computers too intelligent can be to our disadvantage

computer science has with the social, technological, and futuristic aspects of the world. Computer science is bound to have social impacts because of its ubiquitous nature. The most influential of these impacts is the introduction of computational thinking. Computational Thinking is a process that generalizes a solution to open ended problems. Open-ended problems encourage full, meaningful answers based on multiple variables, which are derived using abstraction and automation. When solving open ended

Many of these new methods and approaches need “computing technologies…such as: (i) high-performance architectures and Systems… (ii) distributed computing… (iii) computational simulation…(iv) algorithms (theoretical and experimental aspects); (v) applied bioinformatics (analysis pipelines, tools, applications); (vi) artificial and computational intelligence (machine learning, agents, evolutionary techniques, bio-inspired methods)” (Beretta, Cannataro & Dondi, 2015). Each one of the next three research

Since the encounter to 'Network Motifs' by Uri Alon's book 'Design Principles of Biological Networks' during my Integrated Masters at University of Hyderabad; systems biology has immensely captivated me. Further in time; academic courses, workshops and projects guided me to unearth this as the area that I want to pursue as my research. Although new, this field gives a holistic perspective to the historically reductionist outlook of the biological systems. While living organisms are interesting and

read out proteins and investigating chemical and optical mechanisms for fine tuned control of protein function. Of the many papers that the Lin lab has produced over the years, the ones that stood out were his 2015 publication in Nature Chemical Biology, Tunable and reversible drug control of protein production via a self-excising degron and his 2012 publication in Nature Neuroscience, Fluorescent and photo-oxidizing TimeSTAMP tags track protein fates in light and electron

I wish to introduce myself as Mr.John Doe, a prospective student aspiring to enroll into the graduate program in Computer science at The University of Mexico 2015. The post-graduate program in Computer science offered by your esteemed University appears very righteous to me. It would enlighten me further with significant theoretical and practical knowledge that would update me with the current trends and advancing necessities of the IT industry with the latest technologies. My aim is to acquire