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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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Genome-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Eukaryotes have large genomes compared to prokaryotes. To fit their genomes into a cell, eukaryotic DNA is packaged extraordinarily tightly inside the nucleus. To achieve this, DNA is tightly wound around proteins called histones, which are packaged into nucleosomes that are joined by linker DNA and coil into chromatin fibers. Additional fibrous proteins further compact the chromatin, which is recognizable as chromosomes during certain phases of cell division.
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Genomic DNA in Prokaryotes00:46

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The genome of most prokaryotic organisms consists of double-stranded DNA organized into one circular chromosome in a region of cytoplasm called the nucleoid. The chromosome is tightly wound, or supercoiled, for efficient storage. Prokaryotes also contain other circular pieces of DNA called plasmids. These plasmids are smaller than the chromosome and often carry genes that confer adaptive functions, such as antibiotic resistance.
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Evolutionary Relationships through Genome Comparisons02:54

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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A Review on Genomics APIs.

Rajeswari Swaminathan1, Yungui Huang1, Soheil Moosavinasab1

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Computational and Structural Biotechnology Journal
|December 25, 2015
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Summary
This summary is machine-generated.

Genomics Application Programming Interfaces (APIs) enable secure data access for research and clinical applications. These APIs standardize genomic data retrieval, facilitating integration with Electronic Health Records and advancing healthcare.

Keywords:
Application Programming Interface (API)ClinicalData sharingGenomicsSequencing

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Area of Science:

  • Genomics
  • Bioinformatics
  • Health Informatics

Background:

  • Next Generation Sequencing (NGS) advancements have increased genomic data volume and complexity.
  • Need for secure, interoperable genomic data sharing across diverse platforms and institutions.
  • Genomic data complexity necessitates standardized access methods for research and clinical use.

Purpose of the Study:

  • To review and compare available Genomics Application Programming Interfaces (APIs).
  • To analyze functionalities, reference implementations, and authentication protocols of key Genomics APIs.
  • To assess the potential impact of Genomics APIs on healthcare and research.

Main Methods:

  • Review of three prominent Genomics APIs: Google Genomics, SMART Genomics, and 23andMe.
  • Analysis of API functionalities, reference implementations, and authentication mechanisms.
  • Comparative analysis of features across the reviewed APIs.

Main Results:

  • Detailed review of Google Genomics, SMART Genomics, and 23andMe APIs.
  • Comparison of their respective features, implementations, and security protocols.
  • Identification of commonalities and differences in their approaches to genomic data access.

Conclusions:

  • Genomics APIs offer standardized protocols for accessing and integrating diverse genomic data.
  • These APIs simplify the development of complex genomics applications, aiding clinical research.
  • Widespread adoption of Genomics APIs promises significant downstream benefits for healthcare.
  • APIs are crucial for seamless integration of genomic information with Electronic Health Records.