TY - JOUR AU - Li, Peter AU - Castrillo, Juan I. AU - Velarde, Giles AU - Wassink, Ingo AU - Soiland-Reyes, Stian AU - Owen, Stuart AU - Withers, David AU - Oinn, Tom AU - Pocock, Matthew R. AU - Goble, Carole A. AU - Oliver, Stephen G. AU - Kell, Douglas B. PY - 2008 DA - 2008/08/07 TI - Performing statistical analyses on quantitative data in Taverna workflows: An example using R and maxdBrowse to identify differentially-expressed genes from microarray data JO - BMC Bioinformatics SP - 334 VL - 9 IS - 1 AB - There has been a dramatic increase in the amount of quantitative data derived from the measurement of changes at different levels of biological complexity during the post-genomic era. However, there are a number of issues associated with the use of computational tools employed for the analysis of such data. For example, computational tools such as R and MATLAB require prior knowledge of their programming languages in order to implement statistical analyses on data. Combining two or more tools in an analysis may also be problematic since data may have to be manually copied and pasted between separate user interfaces for each tool. Furthermore, this transfer of data may require a reconciliation step in order for there to be interoperability between computational tools. SN - 1471-2105 UR - https://doi.org/10.1186/1471-2105-9-334 DO - 10.1186/1471-2105-9-334 ID - Li2008 ER -