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Genomics

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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...

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Statistical Methods to Analyze Parametric Data: ANOVA

Statistical Methods to Analyze Parametric Data: ANOVA

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Home
Epic-coge: Managing And Analyzing Genomic Data.

Home
Epic-coge: Managing And Analyzing Genomic Data.

Related Experiment Video

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

EPIC-CoGe: managing and analyzing genomic data.

Andrew D L Nelson¹, Asher K Haug-Baltzell¹, Sean Davey¹

¹BIO5 Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA.

Bioinformatics (Oxford, England)

|February 24, 2018

View abstract on PubMed

Summary

This summary is machine-generated.

The EPIC-CoGe browser offers a user-friendly, web-based platform for visualizing and analyzing genomic data. It integrates extensive genome databases with enhanced search and on-the-fly analysis features for researchers.

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Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'

Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'

Published on: May 26, 2013

Area of Science:

Bioinformatics
Genomics
Computational Biology

Background:

Genome visualization tools are crucial for interpreting complex genomic data.
Existing tools may lack comprehensive integration with large genome databases or advanced analytical capabilities.

Purpose of the Study:

To introduce the EPIC-CoGe browser, a novel web-based genome visualization utility.
To enhance genome data accessibility and analysis for researchers of all skill levels.

Main Methods:

Integration of the GMOD JBrowse genome browser with the CoGe genome database.
Development of enhanced search functionalities and on-the-fly comparative analysis tools.
Implementation of a user-friendly interface with a point-and-click wizard and REST API for data loading.

Main Results:

The EPIC-CoGe browser provides access to over 30,000 genomes.
It offers advanced features beyond basic JBrowse, including enhanced search and comparative genomics.
Data loading is simplified via a wizard or REST API, requiring no installation.

Conclusions:

EPIC-CoGe significantly improves accessibility and usability of large-scale genomic data.
The platform facilitates comparative genomics and functional analysis across diverse datasets.
Its embeddable nature allows integration into existing web resources and JBrowse instances.