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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
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Organisms must balance energy intake with the energy required for growth, maintenance and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species, like annual plants, have only one reproductive episode in their lifetimes and consequently have short lifespans. Iteroparous species, by contrast, have many reproductive events during their lifetimes but have relatively few offspring. These two...
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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. 
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Perspectives on tracking data reuse across biodata resources.

Karen E Ross1, Frederic B Bastian2,3, Matt Buys4

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Bioinformatics Advances
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PubMed
Summary
This summary is machine-generated.

Tracking data reuse in molecular biology is crucial for scientific reproducibility. A workshop highlighted challenges like cost and restrictive licenses, recommending standardized documentation and better data management recognition.

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Data Management

Background:

  • Data reuse is fundamental to molecular biology, driving innovation through shared knowledge in databases like UniProtKB.
  • Effective data sharing between molecular biology databases enhances scientific discovery.
  • Quantifying and documenting this data reuse presents significant challenges.