Shuber et al., 1997 - Google Patents
High throughput parallel analysis of hundreds of patient samples for more than 100 mutations in multiple disease genesShuber et al., 1997
View HTML- Document ID
- 12380098057681881626
- Author
- Shuber A
- Michalowsky L
- Scott Nass G
- Skoletsky J
- Hire L
- Kotsopoulos S
- Phipps M
- Barberio D
- Klinger K
- Publication year
- Publication venue
- Human molecular genetics
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Snippet
As more mutations are identified in genes of known sequence, there is a crucial need in the areas of medical genetics and genome analysis for rapid, accurate and cost-effective methods of mutation detection. We have developed a multiplex allele-specific diagnostic …
- 230000035772 mutation 0 title abstract description 237
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- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6813—Hybridisation assays
- C12Q1/6834—Nucleic acid analysis involving immobilisation; Immobilisation characterised by the carrier or coupling agent
- C12Q1/6837—Nucleic acid analysis involving immobilisation; Immobilisation characterised by the carrier or coupling agent characterised by the use of probe arrays or probe chips
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- C12Q1/6813—Hybridisation assays
- C12Q1/6827—Hybridisation assays for mutation or polymorphism detection
- C12Q1/683—Hybridisation assays for mutation or polymorphism detection involving restriction enzymes, e.g. RFLP
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- G06F19/20—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for hybridisation or gene expression, e.g. microarrays, sequencing by hybridisation, normalisation, profiling, noise correction models, expression ratio estimation, probe design or probe optimisation
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- G06F19/22—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
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