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Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

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Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
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An elastic collision is one that conserves both internal kinetic energy and momentum. Internal kinetic energy is the sum of the kinetic energies of the objects in a system. Truly elastic collisions can only be achieved with subatomic particles, such as electrons striking nuclei. Macroscopic collisions can be very nearly, but not quite, elastic, as some kinetic energy is always converted into other forms of energy such as heat transfer due to friction and sound. An example of a nearly...
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Atomic emission spectroscopy (AES) is an analytical technique used to determine the elemental composition of a sample by analyzing the light emitted from excited atoms. In AES, atoms in a sample are excited to higher energy levels by thermal energy from high-temperature sources, such as plasma, arcs, or sparks. When these excited atoms return to lower energy states, they emit light at specific wavelengths characteristic of each element. The resulting atomic emission spectrum, which consists of...
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Updated: Aug 10, 2025

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ElasticBLAST: Accelerating Sequence Search via Cloud Computing.

Christiam Camacho1, Grzegorz M Boratyn1, Victor Joukov1

  • 1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD, 20894, USA.

Biorxiv : the Preprint Server for Biology
|February 15, 2023
PubMed
Summary
This summary is machine-generated.

ElasticBLAST is a cloud-native tool for performing Basic Local Alignment Search Tool (BLAST) alignments. It efficiently handles large-scale sequence searches in the cloud, simplifying bioinformatics workflows.

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Area of Science:

  • Bioinformatics
  • Computational Biology

Background:

  • Biomedical researchers rely on Basic Local Alignment Search Tool (BLAST) alignments for sequence categorization.
  • Cloud computing offers scalable computational power and data storage for bioinformatics tasks.
  • Cloud platforms facilitate collaboration among researchers by enabling data and pipeline sharing.

Approach:

  • ElasticBLAST is a cloud-native application designed for executing BLAST alignments.
  • It supports variable query loads, from few to thousands, utilizing thousands of virtual CPUs.
  • The application employs cloud-native orchestration and supports cost-saving discounted instances on AWS and GCP.

Key Points:

  • ElasticBLAST can search user-provided or NCBI databases.
  • It automates resource management, including deletion upon completion.
  • The tool is available on Amazon Web Services and Google Cloud Platform.

Conclusions:

  • ElasticBLAST efficiently performs BLAST searches in the cloud.
  • It simplifies cloud adoption for bioinformatics by abstracting complexity.
  • Demonstrated utility through two practical examples.