Frequently Asked Questions
 

 

   

 

 
  What is Bioinformatics?
  Bioinformatics is an interdisciplinary subject which integrates fields like biology, chemistry, biophysics, biostatistics and computer science to solve biological problems. The ultimate goal of Bioinformatics is to enable the discovery of new biological insights as well as to create global perspective from which unifying principles in biology can be discerned.
 
  What are all biological Problems?
  The first and foremost biological problem is to annotate functional genes hidden in sequenced genomes which can be effectively scanned by computational approaches. The other problems include protein structure prediction, Drug discovery, metabolic pathway manipulation and much more. These problems can be consolved in a faster way by using bioinformatics as a catalyst.
 
  What is Medical Informatics?
  Medical Informatics is an applied discipline which lies in the intersection of computer science and medicine. It also draws from areas of library and information science, statistics, health policy making, and others. It is the science of how to collect and manage medical and health information using computers.
Design of computing solutions for medical informatics benefits best from expertise in computer science, medical and health sciences, and cognitive sciences. The former two due to the need for deep insight in both computing and health disciplines, and the latter due to the need for careful attention to human factors and interfaces which may be of particular importance to success in healthcare.
 
  What is Genomics?
  Genomics is any attempt to analyze or compare the entire genetic complement of a species or species (plural). It is, of course possible to compare genomes by comparing more-or-less representative subsets of genes within genomes.
 
  What is Proteomics?
  Proteomics is the study of proteins - their location, structure and function. It is the identification, characterization and quantification of all proteins involved in a particular pathway, organelle, cell, tissue, organ or organism that can be studied in concert to provide accurate and comprehensive data about that system.
 
  What is Pharmacogenomics?
 

Pharmacogenomics is the application of genomic approaches and technologies to the identification of drug targets. In Short, pharmacogenomics is using genetic information to predict whether a drug will help make a patient well or sick.

It Studies how genes influence the response of humans to drugs, from the population to the molecular level.

 
  What is Pharmacogenetics?
 

Pharmacogenetics is the study of how the actions of and reactions to drugs vary with the patient's genes.

All individuals respond differently to drug treatments; some positively, others with little obvious change in their conditions and yet others with side effects or allergic reactions. Much of this variation is known to have a genetic basis. Pharmacogenetics is a subset of pharmacogenomics which uses genomic/bioinformatic methods to identify genomic correlates, for example SNPs (Single Nucleotide Polymorphisms), characteristic of particular patient response profiles and use those markers to inform the administration and development of therapies. Strikingly such approaches have been used to "resurrect" drugs thought previously to be ineffective, but subsequently found to work with in subset of patients or in optimizing the doses of chemotherapy for particular patients.

 
  What is Cheminformatics?
 

"The use of information technology and management has become a critical part of the drug discovery process. Chemoinformatics is the mixing of those information resources to transform data into information and information into knowledge for the intended purpose of making better decisions faster in the area of drug lead identification and organization"

In fact, Chemoinformatics is a generic term that encompasses the design, creation, organization, management, retrieval, analysis, dissemination, visualization and use of chemical information.

Related terms of cheminformatics are chemi-informatics, chemometrics, computational chemistry, chemical informatics, chemical information management/science, and cheminformatics.

 
  What is the difference between Medical Informatics and Bioinformatics?
  "Biomedical Informatics is an emerging discipline that has been defined as the study, invention, and implementation of structures and algorithms to improve communication, understanding and management of medical information." Medical Informatics is more concerned with structures and algorithms for the manipulation of medical data, rather than with the data itself. This suggests that one difference between bioinformatics and medical informatics as disciplines lies with their approaches to the data; there are bioinformaticists interested in the theory behind the manipulation of that data and there are bioinformatics scientists concerned with the data itself and its biological implications and some in both. Medical informatics, for practical reasons, is more likely to deal with data obtained at "grosser" biological levels---that is information from super-cellular systems, right up to the population level-while most bioinformatics is concerned with information about cellular and biomolecular structures and systems.
 
  What constitutes "Nano" technology?
 

The "nano" prefix means one billionth. A nanometer is one billionth of a meter in size, one millionth of a millimeter. By comparison "micro" technology would be one thousandth of a millimeter. A centimeter, approximately one half of an inch, is one hundredth of a meter and a millimeter is one thousandth of a meter.

Proportionately, a human hair is approximately 50,000 nanometers wide. Nanotechnology or nanoscience operates on the subatomic level in terms of size. The technologies contain entire systems that are built to atomic specifications.

 
  What is the definition of Nanotechnology?
 

Though the field encompasses several research or development areas, the essence of nanotech is the size "The precision placement, measurement, manipulation and modeling of sub-100 nanometer scale matter."

Nanoscience and engineering have combined to be referred to as Nanotechnology.
The laws of physics, chemistry, and biology are no longer applicable to nanoscale structures. These items are between the size of isolated molecules or atoms and bulk materials and research has shown that the laws that were created to fit the micro world we previously faced.

 
  What is a Knowledge Based System?
  Knowledge-Based Systems (KBS) are software programs which have as a central component an abstracted collection of knowledge (knowledge base) in some knowledge representation. The program uses this knowledge along with logical control to make decisions in the process of executing. These systems have advantages, for example, they are easily modified as new knowledge is learned and the knowledge can be easily reviewed by human inspection. Typical knowledge representations used in the system might include a rule base, semantic network, or criteria table representation.
 
  What is a semantic network?
  A semantic network in a graphical knowledge representation. In the representation, individual items are related to one another by lines connecting them. For example, two individual's names might be connected by a named line (arc) called siblings that indicates they are brother and sister. This form of knowledge has an advantage because it is visually meaningful to humans since it parallels a similar kind of diagrammatic representation in educational psychology called a concept map. Semantic networks can be translated into other forms of representation, such as a rule base, and can be used by knowledge-based computer systems.
 
  What do we mean by "Intelligent" software?
  The term "intelligent," when applied to software, is generally interpreted to refer to software which behaves in a way which seems like human intelligence. This term can be contrasted with Artificial Intelligence and Artificially Intelligent systems.
 
  What is Artificial Intelligence and when is a program considered Artificially Intelligent?
  Artificial Intelligence is a discipline of disciplines combining areas of Cognitive Science, Computer Science, and Theoretical Mathematics. More strict definitions stipulate that it is study of intelligent methods using the tools which have been developed in the AI field, such as knowledge representations and forms of algebraic manipulation of logic (e.g. First Order Predicate Calculus and Resolution Theorem Proving). By this definition, AI might be considered a discipline of advanced programming techniques, and a system which uses those techniques could be considered Artificially Intelligent.
 
  What is an Intelligent Tutoring System?
  Intelligent Tutoring Systems (ITS) are software programs which provide instruction for a learner with guidance and insight in the way a teacher would guide a student. In an ITS program the knowledge of "how to teach" is distinct from that which is to be taught and from that which the student knows. Each of these areas of knowledge may be captured in a knowledge base or at least some form of an abstraction which the program operates upon to control its execution.
 
  What is a cognitive strategy?
  In education, influencing a learner and assisting them in retention of information can be central and important tasks. To achieve these, the use of various cognitive strategies can be very effective, when carefully chosen to be appropriate for each learning situation. To influence a learner about the importance adequate pet care, the developer may appeal to affect (individual feelings), or to reinforce the importance of diet in nutrition, an authority figure such as a doctor might be enlisted to provide the advise. To assist in retention of information, cognitive techniques might be incorporated into the design and presentation of content which mimic mental processing of material. In data interpretation, for example, pictorials grouping related information together and emphasizing differences can be very useful. A conscious awareness and attention to these strategies and techniques results in systems which are better designed for human factors, interface, and learning.
 
  What is Client / Server architecture?
  A client / server (C/S) system is a software architecture which distributes processing between a client (user) computer and a central server. Part of the computer program is actually executed on each machine and the two components communicate over a network. The client portion of a C/S database may form queries on the user's machine while those queries are executed on the server returning only the results. The internet can also be considered a C/S system where the user's client (browser software) interacts with a server which returns HTML pages. In this kind of software, the software can be developed to create either thin or thick client systems.
 
  How is a thin client different from a thick client?
  In a client / server (C/S) system, the amount of software and processing carried out on the client machine versus the server machine may be shifted to place more of the software on the client or more on the server. When more software is shifted to the client, we say the client is thicker. Systems with large, task specific client software (e.g., traditional two-tier C/S database systems), are typically referred to as thick clients while small programs which are more generic such as a browser are typically referred to as thin client systems. There is a spectrum in-between which can be exploited to meet special constraints of specific software behavior, responsiveness, and bandwidth.
 
  Are there different kinds of intranets?
  There is some variation in what individuals identify as an intranet. Some individuals characterize any system which uses TCP/IP as an intranet regardless of how the software is distributed in a client/server architecture. At another extreme, some implicitly assume that the client software will be limited to a browser only and all other software will be located on a server machine or machines. The latter kind of intranet is often sighted as a low maintenance system which can even be implemented on a network computer do to its small software profile. Other installations may be somewhere in-between, having a browser - HTML server front end and other software both on the network servers and the client machines. To some extent, these factors may be chosen depending upon the needs of the users and constraints of the application and network connections.
   
 
 
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