Il Young Cho
Principles of Bioinformatics
Bioinformatics is an interdisciplinary field of science which combines computer science, statistics, mathematics and engineering to study and process biological data.
Bioprogramming
2-1 Programming
Programming is a process that leads from an original formulation of a computing problem to executable computer programs. The purpose of programming is to find a sequence of instructions that will automate performing a specific task or solving a given problem.
2-2 Compiler
Compiler is a computer program that transforms source code written in a programming language into another computer language (binary form).
2-3 Language
There is some languages which we can use as a programming languages, such as C, R, Java, Perl and Matlab.
Genomics
3-1 What is Genomics?
Genomics is a discipline in genetics that applies recombinant DNA, DNA sequencing methods, and bioinformatics to sequence, assemble, and analyze the function and structure of genomes
3-2 Origin, history and future of Genomics.
In 1975 Plus and Minus technique was developed. The refinement of the Plus and Minus method resulted in the chain-termination, or Sanger method which formed the basis of the techniques of DNA sequencing, genome mapping, data storage, and bioinformatic analysis most widely used in the following quarter-century of research. In the same year, the Maxam-Gilbert method was developed which is method of DNA sequencing. In the future, there will be more effective method to sequence DNA.
3-3 Relationship with other -omics.
The English-language neologism omics informally refers to a field of study in biology ending in -omics, such as genomics, proteomics or metabolomics. The related suffix -ome is used to address the objects of study of such fields, such as the genome, proteome or metabolome respectively. The suffix -ome as used in molecular biology refers to a totality of some sort; similarly omics has come to refer generally to the study of large, comprehensive biological data sets. I think Genomics is fundamental study to other –omics such as proteomics or metabolomics, because technique or knowledge related to genomics is used to other studies to do experiment more efficiently.