Quality Control Test for Sequence-Phenotype Assignments
| Autor: | Gabriel del Rio, Maria Teresa Lara Ortiz, Alba Savin Gamez, Ana Martínez del Campo, Pablo Luna-Nevárez, Pablo Benjamín Leon Rosario |
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| Rok vydání: | 2015 |
| Předmět: |
Quality Control
Sequence analysis lcsh:Medicine Mutagenesis (molecular biology technique) Biology medicine.disease_cause DNA sequencing Task (project management) User-Computer Interface medicine lcsh:Science Gene Genetics Internet Mutation Multidisciplinary lcsh:R High-Throughput Nucleotide Sequencing Proteins DNA Sequence Analysis DNA Phenotype DNA sequencer Mutagenesis lcsh:Q Research Article |
| Zdroj: | PLoS ONE PLoS ONE, Vol 10, Iss 2, p e0118288 (2015) |
| ISSN: | 1932-6203 |
| DOI: | 10.1371/journal.pone.0118288 |
| Popis: | Relating a gene mutation to a phenotype is a common task in different disciplines such as protein biochemistry. In this endeavour, it is common to find false relationships arising from mutations introduced by cells that may be depurated using a phenotypic assay; yet, such phenotypic assays may introduce additional false relationships arising from experimental errors. Here we introduce the use of high-throughput DNA sequencers and statistical analysis aimed to identify incorrect DNA sequence-phenotype assignments and observed that 10-20% of these false assignments are expected in large screenings aimed to identify critical residues for protein function. We further show that this level of incorrect DNA sequence-phenotype assignments may significantly alter our understanding about the structure-function relationship of proteins. We have made available an implementation of our method at http://bis.ifc.unam.mx/en/software/chispas. |
| Databáze: | OpenAIRE |
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