%0 Figure %A A. Honaas, Loren %A K. Wafula, Eric %A J. Wickett, Norman %A P. Der, Joshua %A Zhang, Yeting %A P. Edger, Patrick %A S. Altman, Naomi %A Chris Pires, J. %A H. Leebens-Mack, James %A W. dePamphilis, Claude %D 2016 %T SCERNA Flowchart. %U https://plos.figshare.com/articles/figure/_SCE_RNA_Flowchart_/1633219 %R 10.1371/journal.pone.0146062.g002 %2 https://plos.figshare.com/ndownloader/files/2621212 %K assembler %K benchmark Illumina transcriptome data %K SCERNA %K Oryza sativa transcriptomes %K Arabidopsis leaf transcriptome %K 99 transcriptome assemblies %K Lessons Learned %K transcriptome assembly strategies %K Arabidopsis thaliana %K chimeric assemblies %K abundance transcripts %K clc %K Normalized libraries %K assembly improvement %K Superior De Novo Transcriptome Assemblies %K Controlled analyses %K transcriptome assemblies %K lack 1000 %K Plant Genome %K Arabidopsis genes %X

SCERNA stands for Scaffolding and Error correction for de novo assemblies of RNA-Seq data. This collection of post-processing tools allows flexible implementation at various steps post assembly and with multiple assemblers and data types.

%I PLOS ONE