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Related Concept Videos

Genomics02:02

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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Genomic Imprinting and Inheritance02:30

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Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
The expression of some genes depends on which parent passed the gene to the offspring, through a phenomenon known as...
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Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

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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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The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
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How Data are Classified: Categorical Data01:11

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A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
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How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
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A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
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Ten quick tips for sharing open genomic data.

Anne V Brown1, Jacqueline D Campbell2, Teshale Assefa3

  • 1USDA-ARS, Corn Insects and Crop Genetics Research Unit, Ames, Iowa, United States of America.

Plos Computational Biology
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Summary
This summary is machine-generated.

Sharing open genomic data is crucial for scientific advancement. This paper offers 10 practical tips to overcome challenges like data volume and formatting, facilitating broader data accessibility.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Data Science

Background:

  • Genomic data is rapidly accumulating due to decreasing sequencing costs.
  • This data holds significant potential value beyond its initial research purpose.
  • Sharing genomic data is essential for scientific progress but faces numerous hurdles.

Purpose of the Study:

  • To provide practical guidance for sharing open genomic data.
  • To address common challenges encountered during genomic data sharing.
  • To promote the accessibility and utilization of genomic datasets.

Main Methods:

  • The paper outlines 10 actionable tips for effective genomic data sharing.
  • Strategies focus on overcoming technical and logistical barriers.
  • Guidance covers aspects from data formatting to repository selection.

Main Results:

  • The proposed tips aim to simplify the process of making genomic data openly available.
  • Addressing challenges such as data volume, complexity, and metadata standardization.
  • Facilitating easier integration and analysis of shared genomic datasets.

Conclusions:

  • Effective sharing of open genomic data is achievable with strategic planning.
  • Implementing these tips can accelerate scientific discovery by enhancing data accessibility.
  • Overcoming data sharing obstacles is vital for maximizing the impact of genomic research.