An Empirical Evaluation of Error Correction Methods and Tools for Next Generation Sequencing Data
نویسندگان
چکیده
منابع مشابه
An Empirical Evaluation of Error Correction Methods and Tools for Next Generation Sequencing Data
Next Generation Sequencing (NGS) technologies produce massive amount of low cost data that is very much useful in genomic study and research. However, data produced by NGS is affected by different errors such as substitutions, deletions or insertion. It is essential to differentiate between true biological variants and alterations occurred due to errors for accurate downstream analysis. Many ty...
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UNLABELLED Error Correction is important for most next-generation sequencing applications because highly accurate sequenced reads will likely lead to higher quality results. Many techniques for error correction of sequencing data from next-gen platforms have been developed in the recent years. However, compared with the fast development of sequencing technologies, there is a lack of standardize...
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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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Introduction: The precision and time required for analysis of data in next-generation sequencing (NGS) depends on many factors including the tools utilized for alignment, variant calling, annotation and filtering of variants, personnel expertise in data analysis and interpretation, and computational capacity of the lab and its optimization is a challenging task. Method: An application software...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2018
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2018.090158