CisSERS, open source software for analyzing sequence data, developed at WSU.
High-throughput sequencing continues to produce an immense volume of information that is processed and assembled into mature sequence data. Data analysis tools are urgently needed that leverage the embedded DNA sequence polymorphisms and consequent changes to restriction sites or sequence motifs in a high-throughput manner to enable biological experimentation. CisSERS was developed as a standalone open source tool to analyze sequence datasets and provide biologists with individual or comparative genome organization information in terms of presence and frequency of patterns or motifs such as restriction enzymes. Predicted agarose gel visualization of the custom analyses results was also integrated to enhance the usefulness of the software. Read the rest of this PLOS article.
Citation: Sharpe RM, Koepke T, Harper A, Grimes J, Galli M, Satoh-Cruz M, et al. (2016) CisSERS: Customizable In Silico Sequence Evaluation for Restriction Sites. PLoS ONE 11(4): e0152404. doi:10.1371/journal.pone.0152404