Analysis of error profiles in deep next-generation sequencing data
نویسندگان
چکیده
منابع مشابه
MapReduce for accurate error correction of next-generation sequencing data
Motivation Next-generation sequencing platforms have produced huge amounts of sequence data. This is revolutionizing every aspect of genetic and genomic research. However, these sequence datasets contain quite a number of machine-induced errors-e.g. errors due to substitution can be as high as 2.5%. Existing error-correction methods are still far from perfect. In fact, more errors are sometimes...
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Next generation sequencing platforms are producing biological sequencing data in unprecedented amounts. The partners of the International Nucleotide Sequencing Database Collaboration, which includes the National Center for Biotechnology Information (NCBI), the European Bioinformatics Institute (EBI), and the DNA Data Bank of Japan (DDBJ), have established the Sequence Read Archive (SRA) to prov...
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The nature and pace of genome mutation is largely unknown. Standard methods to investigate DNA-mutation rely on arraying or sequencing DNA from a population of cells, hence the genetic composition of individual cells is lost and de novo mutation in cell(s) is concealed within the bulk signal. We developed methods based on (SNP-) arraying and next-generation sequencing of single-cell whole-genom...
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ژورنال
عنوان ژورنال: Genome Biology
سال: 2019
ISSN: 1474-760X
DOI: 10.1186/s13059-019-1659-6