SuRankCo is a machine learning based software to score and rank contigs from de novo assemblies of next generation sequencing data. It trains with alignments of contigs with known reference genomes and predicts scores and ranking for contigs which have no related reference genome yet.
For more details about SuRankCo and its functioning, please see
"SuRankCo: Supervised Ranking of Contigs in de novo Assemblies"
Mathias Kuhring, Piotr Wojtek Dabrowski, Andreas Nitsche and Bernhard Y. Renard
PLEASE NOTE, it is recommended to read the paper and the readme.txt file before using SuRankCo.
* Minor changes to enable BAM support.
* Added support for FASTA/SAM assemblies in addition to ACE/FASTQ(QUAL).
NOTE: features of FASTA/SAM assemblies do not include BaseCount, BaseSeqmentCount and ContigQualities yet.
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