Son Ji Hoon
Contents
Bio-informatics
Bio-informatics is an interdisciplinary field that develops methods and software tools for understanding biological data. As an interdisciplinary field of science, bioinformatics combines computer science, statistics, mathematics, and engineering to study and process biological data.
Bioprogramming
Bioprogramming is part of programming but handle the biological data and make bio-program. People have many raw data but they can’t treat them, so we arrange the raw data to simple form which we can easily understand. To deal with computer program, we should know language of computer and computer well.
BioPerl programming
BioPerl is a collection of Perl modules for biological data processing. It is an open source software for biological applications in bioinformatics. In the Human Genome Project, the program has played a central role.
Programing language
Matlab
DAVID
R language
What is real?
I think that the real is which we can control it or not. If we can control it that’s a real, but or not it’s not real. For example we can’t control the time so the time is nor real but we can control atom which very small, so it is real. I think human expand the real part from the non-real part, so we can control everything then, there is only real in earth.
Omics
The English-language neologism omics informally refers to a field of study in biology ending in -omics, such asgenomics, 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. Omics aims at the collective characterization and quantification of pools of biological molecules that translate into the structure, function, and dynamics of an organism or organisms.
Genomics
Genomics: Study of the genomes of organisms.
- Cognitive genomics examines the changes in cognitive processes associated with genetic profiles.
- Comparative genomics: Study of the relationship of genome structure and function across different biological species or strains.
- Functional genomics: Describes gene and protein functions and interactions (often uses transcriptomics).
- Metagenomics: Study of metagenomes, i.e., genetic material recovered directly from environmental samples.
- Personal genomics: Branch of genomics concerned with the sequencing and analysis of the genome of an individual. Once the genotypes are known, the individual's genotype can be compared with the published literature to determine likelihood of trait expression and disease risk. Helps in Personalized Medicine
Transcriptomics
Transcriptome is the set of all RNA molecules, including mRNA, rRNA, tRNA, and other non-coding RNA, produced in one or a population of cells.
Transcriptomics: Study of transcriptomes, their structures and functions.onalized Medicine.
Proteomics
Proteome is the entire complement of proteins, including the modifications made to a particular set of proteins, produced by an organism or system.
- Proteomics: Large-scale study of proteins, particularly their structures and functions. Mass spectrometry techniques are used.
- Immunoproteomics: study of large sets of proteins (proteomics) involved in the immune response
- Nutriproteomics: Identifying the molecular targets of nutritive and non-nutritive components of the diet. Uses proteomics mass spectrometry data for protein expression studies
- Proteogenomics: An emerging field of biological research at the intersection of proteomics and genomics. Proteomics data used for gene annotations.
- Structural genomics: Study of 3-dimensional structure of every protein encoded by a given genome using a combination of experimental and modeling approaches.
Epigenomics
Epigenomics is study of the complete set of epigenetic modifications on the genetic material of a cell, known as the epigenome. ChIP-Chip and ChIP-Seq technologies used.
