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Fig. 1 | BMC Bioinformatics

Fig. 1

From: EvalDNA: a machine learning-based tool for the comprehensive evaluation of mammalian genome assembly quality

Fig. 1

Computational workflow of EvalDNA. EvalDNA requires the assembly of interest in FASTA format, a configuration file, and Illumina paired read data in either FASTQ or BAM file format. EvalDNA first calculates contiguity and completeness metrics, and then calculates accuracy metrics based on the output from running REAPR and SAMtools. This part of EvalDNA produces a list of metrics that will be given to the scoring model (written in R) to estimate the overall quality score for the assembly. The red arrows signify the sequence of steps EvalDNA goes through to calculate various metrics, while the gray arrows signify input and output of data

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