A Domain Framework Approach for Quality Feature Analysis of Genome Assemblies
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-46417-2_11
Reference16 articles.
1. Bradnam, K.R., et al.: Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species. GigaScience 2(1), 2047–217X (2013). https://doi.org/10.1186/2047-217X-2-10
2. Castro, C.J., Ng, T.F.F.: U50: a new metric for measuring assembly output based on non-overlapping target-specific contigs. J. Comput. Biol. 24(11), 1071–1080 (2017). https://doi.org/10.1089/cmb.2017.0013
3. Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, New York (2006)
4. Darling, A.E., Tritt, A., Eisen, J.A., Facciotti, M.T.: Mauve assembly metrics. Bioinformatics 27(19), 2756–2757 (2011). https://doi.org/10.1093/bioinformatics/btr451
5. Denton, J.F., Lugo-Martinez, J., Tucker, A.E., Schrider, D.R., Warren, W.C., Hahn, M.W.: Extensive error in the number of genes inferred from draft genome assemblies. PLoS Comput. Biol. 10(12), e1003998 (2014). https://doi.org/10.1371/journal.pcbi.1003998
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