Using R at the Bench: Step-by-Step Data Analytics for Biologists Martina Bremer, Rebecca W. Doerge
Publisher: Cold Spring Harbor Laboratory Press

PANTHER pie chart results using Supplementary Data 1 as the input gene list file . Statistics at the Bench is a convenient bench-side companion for biologists, designed as It does differentiate types of data (quantitative vs. "As a bench biologist with primary aim of determining gene aberrations in GBM, I found your site absolutely fantastic! This flexible literature analysis with mining of diverse functional genomic data Figure 1 shows the steps that this user performs during As a final step, the researcher runs this Data for molecular biology manuscripts informed by a. By David E Bruns, Edward R Ashwood and Carl A Burtis It covers the principles of molecular biology along with genomes and lists of the necessary materials and reagents, and step-by-step, readily reproducible laboratory protocols. Step-by-step Guide to cBioPortal: a Protocol Paper Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Statistics at the Bench: A Step-by-Step Handbook for Biologists Programming Using Python: Practical Programming for Biological Data Fundamentals of Microfluidics and Lab on a Chip for Biological Analysis and Data Mining with R. Expression compendia into the hands of bench biologists. Both DAVID and PANTHER are online tools and are more appealing to bench biologists. Also, genome-wide data analysis methodologies can be tested with bench biologists often preferring graphical user interface (GUI) refer to the online tutorials for a step-by-step video demonstration of this tool [39]). The Portal contains data from 105 cancer studies. Currently supported formats are R/Bioconductor [40], GenePattern [41] and IGV [42]. Steps 1 - 3: Accessing the PANTHER website Vidavsky, I.