Biological Big Data Management - Types, Analysis, Integration

BIOLOGICAL BIG DATA
MANAGEMENT

BIOLOGICAL DATA
 Biological data is the data which comes from every living organisms.
 Biological data have a important information about a particular organism.
 Biological data can be from human, animals, plants etc.
 Biological data retrieves with help of biotechnology, bioinformatics and branches
of science.
 Biological data can be a sequence, image, pattern, models, hypothesis or any
evidence etc.

TYPES OF BIOLOGICAL DATA
Genomics
 Nucleotide sequences
 Study of gene, gene finding, mutations prediction, sequence alignment
Transcriptomics
 RNA expression, transcription factor
Proteomics
 Protein structure, interaction, identification
 Protein prediction, structure, function prediction, structure comparison, molecular dynamics, simulation, docking.
Metabolomics
 Small molecules study/ metabolite
 Network analysis, pathway analysis
Cytometry
 Cell level study, cell population
 Population clustering, cell biomarker finding
System Biology
 Study all these above
 Simulation, modeling, networking study,
target prediction for drugs