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ndltd-bl.uk-oai-ethos.bl.uk-7235032017-11-03T03:19:34ZStatistical and bioinformatics approaches for discovering pathogenic single nucleotide variants in idiopathic early on-set nephrotic syndrome using exome sequencingBaird, Denis Andrew2017University of Bristolhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723503Electronic Thesis or Dissertation
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NDLTD
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NDLTD
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author |
Baird, Denis Andrew
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spellingShingle |
Baird, Denis Andrew
Statistical and bioinformatics approaches for discovering pathogenic single nucleotide variants in idiopathic early on-set nephrotic syndrome using exome sequencing
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author_facet |
Baird, Denis Andrew
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author_sort |
Baird, Denis Andrew
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title |
Statistical and bioinformatics approaches for discovering pathogenic single nucleotide variants in idiopathic early on-set nephrotic syndrome using exome sequencing
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title_short |
Statistical and bioinformatics approaches for discovering pathogenic single nucleotide variants in idiopathic early on-set nephrotic syndrome using exome sequencing
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title_full |
Statistical and bioinformatics approaches for discovering pathogenic single nucleotide variants in idiopathic early on-set nephrotic syndrome using exome sequencing
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title_fullStr |
Statistical and bioinformatics approaches for discovering pathogenic single nucleotide variants in idiopathic early on-set nephrotic syndrome using exome sequencing
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title_full_unstemmed |
Statistical and bioinformatics approaches for discovering pathogenic single nucleotide variants in idiopathic early on-set nephrotic syndrome using exome sequencing
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title_sort |
statistical and bioinformatics approaches for discovering pathogenic single nucleotide variants in idiopathic early on-set nephrotic syndrome using exome sequencing
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publisher |
University of Bristol
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publishDate |
2017
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url |
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723503
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work_keys_str_mv |
AT bairddenisandrew statisticalandbioinformaticsapproachesfordiscoveringpathogenicsinglenucleotidevariantsinidiopathicearlyonsetnephroticsyndromeusingexomesequencing
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_version_ |
1718560076773457920
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