The application of data-structures (and the kinds of data structures that are used) are pretty much the same as in any other field within computer science. One particularly elegant data structure that pops up more in bioinformatics than in other fields are "suffix trees". These are applied in many different ways in bioinformatics, such as helping to optimize sequence alignment algorithms.
Bioinformatics is an emerging field that uses the knowledge of Biology or biotechnology with the computer technology to answer some important and exciting questions. There are topic such as molecular dynamic, drug designing, protein modeling needs the knowledge of graphics to make a running tool. This allow the user of scientist to study the macromolecule at the molecular level in silico. This effort may greatly help the wet lab scientist in case of screening a drug for example.
Edward O Wilson was an entomologist and biologist. He is credited for coining the term biodiversity. He first coined the term in the book "The Diversity of Life."
high-throughput data collection is the source of enormous and expanding database of biological information that make bioinformatics a necessary and productive field.
bioethics
genomics proteomics systems biology chemoinformatics
Computational biology, as defined in the link, is a more broad classification, under which bioinformatics is included. The book,"Statistical Methods in Bioinformation" by Ewens and Grant gives a good understanding of the mathematics and probability theory involved in forming conceptual models of DNA and types of statistical analyses. Bioinformatics is more math than biology, but both are essential.
genomics is the study of an entire sequence of an organism's DNA, while bioinformatics is the use of computers and data bases to organize and analyze DNA. bioinformatics makes genomics a bit easier.
If you are any good at bioinformatics and you can go for an MSc.
Biostatistics is the study of and development of statistics and statistical methods, and their application to a wide range of problems in public health and other areas of biomedicine. Biostatistics provides data for laboratory investigations, clinical trials and epidemiological studies.
what is the eligibility for bioinformatics? what is the eligibility for bioinformatics?
Center for the Study of Political Graphics was created in 1989.
There are lots of applications of statistics in bioinformatics - it is one of the central areas of studies when learning bioinformatics. For example, students have to learn about Bayesian and Frequentist statistics as well as Hidden Markov Models (HMMs). Statistics can answer questions such as, "what is the likelihood that these two DNA sequence alignments are due to them being homologous?" or "given that this sequence looks like this, what is the probability that it is a gene?"
For regular applications you won't notice a difference but in games, definitely.
(Molecular) bio- informatics: bioinformatics is conceptualising biology in terms of molecules (in the sense of physical chemistry) and applying " informatics techniques" (derived from disciplines such as applied maths, computer science and statistics) to understandand organisethe information associated with these molecules, on a large scale . In short, bioinformatics is a management information system for molecular biology and has many practical applications .
Evolutionary Bioinformatics was created in 2005.
Briefings in Bioinformatics was created in 2000.
go to computer centre
EBI is the European Bioinformatics Institute, an outstation of the European Molecular Biology Laboratory, based near Cambridge, UK. It is a site of bioinformatics research and development, and also hosts bioinformatics services.