A Survey of Error-Correction Methods for Next Generation Sequencing
News Feb 20, 2013
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 fromnext-gen platforms have been developed in the recent years. However, compared with the fast development of sequencing technologies, there is a lack of standardized evaluation procedure for different error-correction methods, making it difficult to assess their relative merits and demerits. In this article, we provide a comprehensive review of many error-correction methods, and establish a common set of benchmark data and evaluation criteria to provide a comparative assessment.We present experimental results on quality, run-time, memory usage and scalability of several error-correction methods. Apart from providing explicit recommendations useful to practitioners, the review serves to identify the current state of the art and promising directions for future research. Availability: All error-correction programs used in this article are downloaded from hosting websites.
This article was puclished online in Briefings in Bioinformatics and is free to access.
Can Epigenetics Help Explain the Mechanisms of Autism?News
New findings suggest that epigenetic analysis of DNA regions that control gene expression may hold clues to the genetic basis of autism spectrum disorder.READ MORE
Sanchi Oil Spill Contamination Could Take Three Months to Reach MainlandNews
Water contaminated by the oil currently leaking into the ocean from the Sanchi tanker collision is likely to take at least three months to reach land, and if it does the Korean coast is the most likely location. However, the oil’s fate is highly uncertain, as it may burn, evaporate, or mix into the surface ocean and contaminate the environment for an extended duration.READ MORE