A scalable and memory-efficient algorithm for de novo transcriptome assembly of non-model organisms

BMC Genomics

Table 1 Data sets used in the evaluation of transcriptome assembly, with organism denoting the organism, type denoting whether the organism is model or non-model, libraries denoting the total number of libraries, size denoting the total number of bases in all the reads after quality trimming, reference denoting the publication that describes the libraries, and tick marks within assembly on 32 GB machines denoting the algorithms that can be used for assembly on machines with 32 GB physical memory

ISSN: 1471-2164