RNA-Seq Boston 2015 will enable scientists to overcome the data bottleneck by applying the most appropriate bioinformatics tools and develop a unified, integrated approach for analysis and interpretation of huge data sets, which in turn can positively impact therapeutic and clinical developments. This is an ...
Read More »The Impacts of Read Length and Transcriptome Complexity for De Novo Assembly
Transcriptome assembly using RNA-seq data – particularly in non-model organisms has been dramatically improved, but only recently have the pre-assembly procedures, such as sequencing depth and error correction, been studied. Increasing read length is viewed as a crucial condition to ...
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