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Related Concept Videos

Genomics02:02

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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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Storage01:23

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A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
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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.
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ATP is a highly unstable molecule. Unless quickly used to perform work, ATP spontaneously dissociates into ADP and inorganic phosphate (Pi), and the free energy released during this process is lost as heat. The energy released by ATP hydrolysis is used to perform work inside the cell and depends on a strategy called energy coupling. Cells couple the exergonic reaction of ATP hydrolysis with endergonic reactions, allowing them to proceed.
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Sugars as Energy Storage Molecules01:10

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Sugar (a simple carbohydrate) metabolism (chemical reactions) is a classic example of the many cellular processes that use and produce energy. Living things consume sugar as a major energy source because sugar molecules have considerable energy stored within their bonds. Consumed carbohydrates have their origins in photosynthesizing organisms like plants. During photosynthesis, plants use the energy of sunlight to convert carbon dioxide gas into sugar molecules, like glucose. Because this...
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Triglycerides are a form of long-term energy storage molecules. They are made of glycerol and three fatty acids. To obtain energy from fat, triglycerides must first be broken down by hydrolysis into their two principal components, fatty acids and glycerol. This process, called lipolysis, takes place in the cytoplasm. The resulting fatty acids are oxidized by β-oxidation into acetyl-CoA, which is used by the Krebs cycle. The glycerol that is released from triglycerides after lipolysis...
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Related Experiment Video

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Quasi-light Storage for Optical Data Packets
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Genomic big data hitting the storage bottleneck.

Louis Papageorgiou1,2, Picasi Eleni1, Sofia Raftopoulou1,3,4

  • 1Laboratory of Genetics, Department of Biotechnology, School of Food, Biotechnology and Development, Agricultural University of Athens, Athens, Greece.

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Bioinformatics faces a data crisis due to massive data explosions, leading to information loss and hindering research. Innovative solutions are crucial to manage large volumes of biological data and support sequencing efforts.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • The field of bioinformatics is experiencing an unprecedented data explosion.
  • Current big data centers struggle with the immense storage requirements, leading to data loss.
  • Existing infrastructure and storage solutions are insufficient to manage the growing volume of biological data.

Purpose of the Study:

  • To highlight the critical data crisis in bioinformatics.
  • To emphasize the need for novel solutions to manage large-scale biological data.
  • To address the challenges hindering the progress of DNA sequencing and analysis.

Main Methods:

  • This study is a review and analysis of the current state of data management in bioinformatics.
  • It examines the limitations of existing big data infrastructure.
  • It discusses the impact of data volume on research workflows and motivation.

Main Results:

  • Significant information loss occurs daily due to storage and infrastructure limitations.
  • Time spent on storage issues often exceeds time dedicated to data collection and analysis.
  • The motivation for crucial research like DNA sequencing is declining.

Conclusions:

  • The scientific community is in a data crisis era, necessitating "out-of-the-box" solutions.
  • Addressing data volume challenges is essential to overcome obstacles in bioinformatics research.
  • Technological advancements are required to meet the future needs of bioinformatics data management.