Bioinformatics Quotes

Bioinformatics: The collection of biological scientific data, processing, making meaningful and identify them in or around the problem, no, examination, understanding, and they have been developed for the production of solutions virtual environment perception (In Silico, Silicio, In Glass), vitality (In Vivo), truth and reality branch is a discipline that helps us to understand better.

A large part of bioinformatics is about solving problems of representation.

Partly because of the huge costs involved, a government contract becomes virtually a substitute for intellectual curiosity.

Databases, ontologies, and visual representations tie informatic genomes to the specific practices of computers, computational biology, and bioinformatics.

If molecular biology was about attention to detail and particularity, bioinformatics is about generality and totality.

Biyoenformatik, Biyobilişim (Bioinformatics): Biyolojik bilimsel (biyobilimsel, bioscientific) verilerin toplanması, işlenmesi, anlamlı hale getirilmesi ve bunların içindeki veya etrafındaki problemlerin tesbiti, bulunması, irdelenmesi, anlaşılması ve bunlara çözüm üretimi için geliştirilmiş sanal ortam algısını (In Silico, Silicio, in Glass) canlılık (in Vivo), gerçeklik ve realiteyi daha iyi anlamamıza yardımcı olan bir disiplin dalıdır.

Science: Science is the art of establishing models. These models established axiom, postulate, and priori. If supported by experiments continue to this model. These models around technology is extended and improved. In some cases, they may try and change our technology models. Cannot reach the end of science. After our terms of science renews itself every new perspective. Therefore, a bride wearing a veil as we face a different face when we remove every veil. Therefore, every scientist is a master craftsman.

Cybernetics; dialogue with the surrounding world of the presence of humans, as a result of the interaction and the perception of reality is an applied discipline branches of this perception.

Cybermedicine: Computer, internet, network, wired-wireless communications, mechanics, electronics, robotics, data processing and evaluation of technology and software all at the same time or partially human and other living things in the diagnosis, treatment and follow-up is involved in a disciplinary branch.

Infonomics: There is obtained or will be obtained, an information or knowledge society will be formatted to make economic value, not present in the economy, acquisition, valuation and continue tiveness of giving continuity of economic value is a discipline branch providing sustainability.

Discoveries can come in many different ways, and the most important thing is to be ready for them.

Far from being a homogenous "Big Science," biotechnology is highly diversified and heterogeneous. "The" human genome is not a single database, but a cluster of semi-autonomous databases housed at universities, biotech companies, and independent research institutes. In fact, because any computer user can, if he or she wishes, download the entire genome, "the" human genome is probably more distributed than we can guess. From: "Open source DNA and Bioinformatic Bodies" by Eugene Thacker

eight exponentially growing fields were chosen as the core of SU’s curriculum: biotechnology and bioinformatics; computational systems; networks and sensors; artificial intelligence; robotics; digital manufacturing; medicine; and nanomaterials and nanotechnology. Each of these has the potential to affect billions of people, solve grand challenges, and reinvent industries.

Biological databases impose particular limitations on how biological objects can be related to one another. In other words, the structure of a database predetermines the sorts of biological relationships that can be 'discovered'. To use the language of Bowker and Star, the database 'torques,' or twists, objects into particular conformations with respect to one another. The creation of a database generates a particular and rigid structure of relationships between biological objects, and these relationships guide biologists in thinking about how living systems work. The evolution of GenBank from flat-file to relational to federated database paralleled biologists' moves from gene-centric to alignment-centric to multielement views of biological action.

For infectious diseases, simulations rely on models based on bioinformatics, displaying the beginning and end of the curve, anticipating different waves of the epidemic (Mackenzie 2003).