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Genomics

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...

X-linked Traits

X-linked Traits

In most mammalian species, females have two X sex chromosomes and males have an X and Y. As a result, mutations on the X chromosome in females may be masked by the presence of a normal allele on the second X. In contrast, a mutation on the X chromosome in males more often causes observable biological defects, as there is no normal X to compensate. Trait variations arising from mutations on the X chromosome are called “X-linked”.

X-linked Traits

X-linked Traits

In most mammalian species, females have two X sex chromosomes and males have an X and Y. As a result, mutations on the X chromosome in females may be masked by the presence of a normal allele on the second X. In contrast, a mutation on the X chromosome in males more often causes observable biological defects, as there is no normal X to compensate. Trait variations arising from mutations on the X chromosome are called “X-linked”.

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Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Published on: November 3, 2023

XGAP: a uniform and extensible data model and software platform for genotype and phenotype experiments.

Morris A Swertz¹, K Joeri van der Velde, Bruno M Tesson

¹Genomics Coordination Center, Department of Genetics, University Medical Center Groningen and University of Groningen, Groningen, The Netherlands. m.a.swertz@rug.nl

|March 11, 2010

Summary

This summary is machine-generated.

We introduce XGAP, an extensible software model for genotype and phenotype data analysis. It supports diverse data types and offers tools for eQTL analysis and genome-wide association studies, enhancing biological research.

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

The genotype and phenotype research community requires flexible and extensible software solutions.
Managing and analyzing diverse biological data (genotype, epigenotype, transcriptomics, proteomics, metabolomics) presents significant challenges.

Purpose of the Study:

To present XGAP, an extensible software model designed for the genotype and phenotype community.
To provide a versatile platform for integrating and analyzing various biological datasets.

Main Methods:

XGAP is an extensible software model that can be downloaded or auto-generated using MOLGENIS.
It offers programming interfaces for R-software and web services, alongside user interfaces for biologists.
The model supports simple load formats for diverse data types, including genotype, epigenotype, transcript, protein, and metabolite data.

Main Results:

XGAP provides a unified framework for handling multiple types of biological data.
Current functionalities include tools for eQTL (expression Quantitative Trait Loci) analysis in mice.
The model also supports genome-wide association studies (GWAS) in humans.

Conclusions:

XGAP offers a flexible and powerful solution for genotype and phenotype data management and analysis.
Its extensible nature and broad data compatibility facilitate advanced biological research and discovery.