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CGAL: computing genome assembly likelihoods

Genome Biology

Jan 29, 2013

Atif Hasan Rahman, Lior Pachter

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Abstract

Assembly algorithms have been extensively benchmarked using simulated data so that results can be compared to ground truth. However, in de novo assembly, only crude metrics such as contig number and size are typically used to evaluate assembly quality. We present CGAL, a novel likelihoo...read more

Mentioned in this Paper

Genome, Bacterial
Contig Mapping
Sequence Determinations, DNA
Likelihood Functions
Metric
Genome, Human
Genome Assembly Sequence
53
226
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CGAL: computing genome assembly likelihoods

Genome Biology

Jan 29, 2013

Atif Hasan Rahman, Lior Pachter

PMID: 23360652

DOI: 10.1186/gb-2013-14-1-r8

Abstract

Assembly algorithms have been extensively benchmarked using simulated data so that results can be compared to ground truth. However, in de novo assembly, only crude metrics such as contig number and size are typically used to evaluate assembly quality. We present CGAL, a novel likelihoo...read more

Mentioned in this Paper

Genome, Bacterial
Contig Mapping
Sequence Determinations, DNA
Likelihood Functions
Metric
53
226

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