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Related Concept Videos

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
Synthetic Biology02:55

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...
Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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Towards BioDBcore: a community-defined information specification for biological databases.

Pascale Gaudet, Amos Bairoch, Dawn Field

    Database : the Journal of Biological Databases and Curation
    |January 6, 2011
    PubMed
    Summary
    This summary is machine-generated.

    This article introduces BioDBCore, a standard for describing biological databases. This promotes consistency and interoperability, making it easier to find and use valuable biological data.

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    Area of Science:

    • Bioinformatics
    • Data Science
    • Computational Biology

    Background:

    • Biological databases are crucial for storing and accessing life science data.
    • Lack of standardization hinders data discovery and integration across resources.
    • A unified approach is needed to navigate the complex biological database landscape.

    Discussion:

    • Proposes BioDBCore, a community-defined, uniform, generic description for biological database core attributes.
    • Aims to provide a clear overview of the database landscape.
    • Encourages consistency and interoperability among diverse biological resources.

    Key Insights:

    • BioDBCore facilitates user evaluation of database scope and relevance.
    • Promotes the adoption of semantic and syntactic standards in biological data.
    • Enhances the collective impact and accessibility of biological information.

    Outlook:

    • Standardized descriptions will streamline data retrieval and analysis.
    • Facilitates interdisciplinary research by improving data integration.
    • Supports the advancement of biological sciences through better data management.