ECHO
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Application data |
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| Biological application domain(s) | SNP detection, Indel detection |
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| Principal bioinformatics method(s) | Sequence error correction |
| Created at | UC Berkeley |
| Maintained? | Maybe |
| Input format(s) | FASTQ |
| Programming language(s) | Python, C++ |
| Licence | BSD |
Summary: Reference-free short read error correction from diploid genomes, with explicit modeling of heterozygous sites.
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Description
ECHO is an error correction algorithm designed for short-reads from next-generation sequencing platforms such as Illumina's Genome Analyzer II. The algorithm uses a Bayesian framework to improve the quality of the reads in a given data set by employing maximum a posteriori estimation.
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