JMP Genomics provides a remarkable flexibility to your analyses of genomics data. You can import data from different sources, manipulate that data, merge or subset data sets, perform quality control analysis, normalize your data using a variety of different criteria, analyze that data, and make predictions and investigate the biological implications of your results using many different criteria. With JMP Genomics, you are free to mix and match different analytical processes, change the order in which you carry these processes out, change statistical, methodological or biological parameters, and analyze your data again and again to meet your individual needs and the needs of your experiments.
For these types of analyses, JMP Genomics offers a series of Basic workflows that take you from your initial data, through a basic quality control analysis and
normalization, annotation, and analysis. Work flows include analyses of genetic, copy number,
expression,
exon, tiling, and miRNA data. All you have to do is identify your data set, specify a few parameters and JMP Genomics does the rest.
As with other JMP Genomics processes, you can modify each workflow and, once you have an optimal setting,
you can save the setting for later use with other data sets.
In addition to the basic workflows, a number of Advanced workflows are provided for more specialized analyses. If your analysis needs do not match the workflows that we provide,
you can build your own using JMP Genomics’
Workflow Builder process.
See the JMP Genomics Starter main page for other process categories.