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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Direct current is a flow of electric charge in only one direction and has a steady state of constant voltage in the circuit. Rectifiers, batteries, commutator-equipped generators, and fuel cells are some examples of devices that generate direct current. Nowadays, most applications use a time-varying voltage source. Alternating current is a flow of electric charge that periodically reverses direction. An alternating current is produced by an alternating emf that is generated in a power plant. If...
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The ADC API: A Web API for the Programmatic Query of the AIRR Data Commons.

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  • 1Department of Population and Data Sciences, UT Southwestern Medical Center, Dallas, TX, United States.

Frontiers in Big Data
|March 11, 2021
PubMed
Summary

The Adaptive Immune Receptor Repertoire (AIRR) Community developed standards for AIRR-seq data. The AIRR Data Commons enables data sharing and analysis of immune receptor repertoires for new biological discoveries.

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Area of Science:

  • Immunology
  • Bioinformatics
  • Computational Biology

Background:

  • High-throughput sequencing generates vast amounts of B-cell and T-cell receptor repertoire data (AIRR-seq).
  • Standardization is crucial for data sharing, curation, and analysis of these complex datasets.
  • The Adaptive Immune Receptor Repertoire (AIRR) Community aims to establish these essential standards.

Purpose of the Study:

  • To describe the technical standards for the AIRR Data Commons.
  • To facilitate the deposit, curation, storage, and reuse of AIRR-seq data.
  • To empower researchers with new biological insights into the adaptive immune system.

Main Methods:

  • Development of the AIRR Data Model for repertoires and rearrangements.
  • Implementation of the AIRR Data Commons (ADC) API for programmatic data querying.
  • Creation of reference implementation tools and data validation utilities.

Main Results:

  • The AIRR Data Commons provides a distributed system with a common data model, query language, and interoperability formats.
  • AIRR-seq data repositories can join the commons by implementing the data model and API.
  • Established standards enable data reuse for novel analyses.

Conclusions:

  • The AIRR Data Commons technical standards are essential for managing and analyzing AIRR-seq data.
  • Standardization promotes data interoperability and accessibility.
  • This infrastructure empowers researchers to uncover novel biological insights from adaptive immune receptor repertoire data.