Difference between revisions of "Template:Article of the week"

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(Updated article of the week text)
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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig4 Pratt JforElecHthDataMeth2019 7-1.png|240px]]</div>
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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Wang BMCBioinfo2019 20.png|240px]]</div>
'''"[[Journal:Implementing a novel quality improvement-based approach to data quality monitoring and enhancement in a multipurpose clinical registry|Implementing a novel quality improvement-based approach to data quality monitoring and enhancement in a multipurpose clinical registry]]"'''
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'''"[[Journal:CytoConverter: A web-based tool to convert karyotypes to genomic coordinates|CytoConverter: A web-based tool to convert karyotypes to genomic coordinates]]"'''
  
There is growing interest in the potential for clinical registries that can simultaneously support clinical care, quality improvement (QI), and [[research]]. This multi-purpose model is consistent with the Institute of Medicine’s (IOM’s) vision of a learning health system which “draws research closer to clinical practice by building knowledge development and application into each stage of the health care delivery process.” Gliklich ''et al.'' define a registry as “an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes.” Most pediatric chronic illnesses meet the [[National Institutes of Health]]'s (NIH) definition for rare disease, and as such, multi-center registries are especially important to study and improve care for children with chronic diseases. ('''[[Journal:Implementing a novel quality improvement-based approach to data quality monitoring and enhancement in a multipurpose clinical registry|Full article...]]''')<br />
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[[wikipedia:Cytogenetics|Cytogenetic]] nomenclature is used to describe chromosomal aberrations (or lack thereof) in a collection of cells, referred to as the cells’ [[wikipedia:Karyotype|karyotype]]. The nomenclature identifies locations on chromosomes using a system of cytogenetic bands, each with a unique name and region on a chromosome. Each band is microscopically visible after staining, and it encompasses a large portion of the chromosome. More modern analyses employ [[Genomics|genomic]] coordinates, which precisely specify a chromosomal location according to its distance from the end of the chromosome. Currently, there is no tool to convert cytogenetic nomenclature into genomic coordinates. Since locations of genes and other genomic features are usually specified by genomic coordinates, a conversion tool will facilitate the identification of the features that are harbored in the regions of chromosomal gain and loss that are implied by a karyotype. ('''[[Journal:CytoConverter: A web-based tool to convert karyotypes to genomic coordinates|Full article...]]''')<br />
 
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''Recently featured'':
 
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Revision as of 16:22, 3 February 2020

Fig1 Wang BMCBioinfo2019 20.png

"CytoConverter: A web-based tool to convert karyotypes to genomic coordinates"

Cytogenetic nomenclature is used to describe chromosomal aberrations (or lack thereof) in a collection of cells, referred to as the cells’ karyotype. The nomenclature identifies locations on chromosomes using a system of cytogenetic bands, each with a unique name and region on a chromosome. Each band is microscopically visible after staining, and it encompasses a large portion of the chromosome. More modern analyses employ genomic coordinates, which precisely specify a chromosomal location according to its distance from the end of the chromosome. Currently, there is no tool to convert cytogenetic nomenclature into genomic coordinates. Since locations of genes and other genomic features are usually specified by genomic coordinates, a conversion tool will facilitate the identification of the features that are harbored in the regions of chromosomal gain and loss that are implied by a karyotype. (Full article...)

Recently featured:

Implementing a novel quality improvement-based approach to data quality monitoring and enhancement in a multipurpose clinical registry
Fast detection of 10 cannabinoids by RP-HPLC-UV method in Cannabis sativa L.
What is this sensor and does this app need access to it?