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Related Concept Videos

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...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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...
RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...

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Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
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Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Published on: January 12, 2020

Omics technologies, data and bioinformatics principles.

Maria V Schneider1, Sandra Orchard

  • 1EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK. vicky@ebi.ac.uk

Methods in Molecular Biology (Clifton, N.J.)
|March 4, 2011
PubMed
Summary
This summary is machine-generated.

This overview covers state-of-the-art Omics technologies, data types, and bioinformatics resources. It highlights challenges in handling high-throughput Omics data, focusing on genomics, transcriptomics, and proteomics integration.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Transcriptomics
  • Proteomics

Background:

  • Omics technologies generate vast amounts of high-throughput data.
  • Effective bioinformatics analysis is crucial for interpreting Omics data.
  • Standardization, sharing, and storage are key challenges in Omics research.

Purpose of the Study:

  • To provide an overview of current Omics technologies and related bioinformatics resources.
  • To illustrate the challenges associated with high-throughput Omics data.
  • To discuss fundamental aspects of Omics data management and integration.

Main Methods:

  • Literature review of Omics technologies and bioinformatics resources.
  • Discussion of data standardization, sharing, storage, and exploration principles.
  • Focus on genomics, transcriptomics, and proteomics data integration.

Main Results:

  • Identification of key Omics technologies and bioinformatics tools.
  • Elucidation of challenges in handling and analyzing high-throughput Omics data.
  • Presentation of strategies for Omics data standardization, sharing, and integration.

Conclusions:

  • Effective bioinformatics approaches are essential for advancing Omics research.
  • Addressing data challenges facilitates the integration and interpretation of multi-Omics data.
  • This overview serves as a guide to Omics technologies, bioinformatics resources, and data integration strategies.