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Relational database concepts of computer science and Information retrieval concepts of digital libraries are important for understanding biological databases. Biological database design, development, and long-term management is a core area of the discipline of bioinformatics. [3]
Extracellular vesicles (EVs) are lipid bilayer-delimited particles that are naturally released from almost all types of cells but, unlike a cell, cannot replicate. EVs range in diameter from near the size of the smallest physically possible unilamellar liposome (around 20-30 nanometers) to as large as 10 microns or more, although the vast majority of EVs are smaller than 200 nm.
Human Protein Atlas (HPA [10]): a public database with expression profiles of human protein coding genes both on mRNA and protein level in tissues, cells, subcellular compartments, and cancer tumors. Legume Information System (LIS): genomic database for the legume family [11]
Provides an RDF data set about scientific publications and related entities, such as authors, institutions, journals, and fields of study. The data set is based on the Microsoft Academic Graph. [105] [106] Free University of Freiburg: MyScienceWork: Science Database includes more than 70 million scientific publications and 12 million patents. Free
The Entrez Global Query Cross-Database Search System is used at NCBI for all the major databases such as Nucleotide and Protein Sequences, Protein Structures, PubMed, Taxonomy, Complete Genomes, OMIM, and several others. [9] Entrez is both an indexing and retrieval system having data from various sources for biomedical research.
Most are available online. Specimen-focused databases contain data about individual specimens, as represented by vouchered museum specimens, collections of specimen photographs, data on field-based specimen observations and morphological or genetic data. Species-focused databases contain information summarised at the species-level.
The higher cost of owning an electric versus a gas-powered vehicle is a sticking point for many would-be buyers of EVs. Now, the price of a key EV component is falling, raising hopes that ...
KEGG (Kyoto Encyclopedia of Genes and Genomes) is a collection of databases dealing with genomes, biological pathways, diseases, drugs, and chemical substances.KEGG is utilized for bioinformatics research and education, including data analysis in genomics, metagenomics, metabolomics and other omics studies, modeling and simulation in systems biology, and translational research in drug development.