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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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Genomic Imprinting and Inheritance02:30

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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.
The expression of some genes depends on which parent passed the gene to the offspring, through a phenomenon known as...
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Data Reporting and Recording01:24

Data Reporting and Recording

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Genome Size and the Evolution of New Genes03:21

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While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
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Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

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The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
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How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

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A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
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A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
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Secure count query on encrypted genomic data.

Mohammad Zahidul Hasan1, Md Safiur Rahman Mahdi1, Md Nazmus Sadat1

  • 1Department of Computer Science, University of Manitoba, Winnipeg, Manitoba, Canada.

Journal of Biomedical Informatics
|March 19, 2018
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Summary
This summary is machine-generated.

Securely sharing human genomic data enhances healthcare. This study introduces a method for protected data sharing and computation, ensuring privacy while improving research accuracy and efficiency.

Keywords:
Cloud computingData sharingGenomic data

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Area of Science:

  • Genomics and Bioinformatics
  • Biomedical Data Security
  • Computational Biology

Background:

  • Genomic research is crucial for personalized healthcare, drug development, and disease prevention.
  • Data sharing across organizations is essential for statistical accuracy but faces privacy challenges.
  • Outsourcing genomic data to cloud providers introduces privacy risks.

Purpose of the Study:

  • To propose a secure method for sharing and computing on human genomic data.
  • To address privacy concerns associated with cloud-based genomic data analysis.
  • To develop a system capable of handling both genotype and phenotype data.

Main Methods:

  • A novel method for secure genomic data sharing and computation on a semi-honest cloud server.
  • Implementation of an index tree scheme to reduce computational overhead for secure count queries.
  • Utilizing encryption to ensure data confidentiality during computation.

Main Results:

  • The proposed method efficiently handles biomedical data including genotype and phenotype.
  • The index tree scheme significantly reduces computational overhead for secure count queries.
  • Experimental results show fast query execution times on large SNP databases (e.g., ~5s for 50 SNPs in 50,000 records).

Conclusions:

  • The developed method provides a secure, efficient, and scalable solution for genomic data sharing and analysis.
  • This approach supports advanced biomedical applications by protecting sensitive participant information.
  • The system enhances the utility of genomic data for improved healthcare outcomes.