A Survey of Error Correction for Next Generation Sequencing
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Abstract
Next-generation sequences (NGS) is a very important process drawback to review the population sizes of deoxyribonucleic acid molecules and to scale back the redundancies in NGS information. The arrival of next-generation sequencing technologies has enhanced the accuracy and amount of sequence information, gap the door to bigger opportunities in genomic analysis. Error Correction is vital for many next-generation sequencing applications as a result of extremely correct sequenced reads can seemingly cause higher quality results. Several techniques for error correction of sequencing knowledge from next-gen platforms are developed within the recent years. However, compared with the quick development of sequencing technologies, there's a scarcity of standardized analysis procedure for various error-correction ways, creating it troublesome to assess their relative deserves and demerits.
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