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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...
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What is Population Genetics?

A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.While some alleles of a given gene might be observed commonly, other variants...
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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
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While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
Genome Size and the Evolution of New Genes03:21

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While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.

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PyPop update--a software pipeline for large-scale multilocus population genomics.

A K Lancaster1, R M Single, O D Solberg

  • 1Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA. alexlanc@u.arizona.edu

Tissue Antigens
|April 21, 2007
PubMed
Summary

PyPop is a new open-source software for population genetics. It analyzes multilocus genotype data across populations, facilitating evolutionary and human disease studies.

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Area of Science:

  • Population genetics
  • Genomics
  • Evolutionary biology

Background:

  • Population genetic statistics are crucial for understanding genetic variation and its implications.
  • Existing software primarily analyzes populations individually, limiting comparative studies.
  • There is a need for tools that facilitate cross-population and cross-statistic analyses.

Purpose of the Study:

  • To develop an open-source framework, PyPop (Python for Population Genomics), for large-scale population genetic analyses.
  • To enable the analysis of population genetic statistics across multiple populations and their relationships.
  • To provide a flexible platform for integrating diverse population genetic data.

Main Methods:

  • PyPop processes multilocus genotype data.
  • It computes population genetic statistics such as haplotype frequencies, Hardy-Weinberg equilibrium deviations, selection tests, and linkage disequilibrium.
  • The software utilizes an Extensible Markup Language (XML) output format for data integration.

Main Results:

  • PyPop facilitates comparative analyses of population genetic statistics across populations.
  • It integrates results from multiple analyses into a common, spreadsheet-readable format.
  • The software is adaptable for various multilocus genetic data, including human leukocyte antigen (HLA) region data.

Conclusions:

  • PyPop is a valuable tool for population genomics, enhancing the analysis of genetic variation.
  • Its framework supports large-scale studies and integrates seamlessly into larger analysis pipelines.
  • PyPop has been successfully applied in major research initiatives and independent studies.