These threads describe how to produce simulated data appropriate for your analysis.
These were combined to produce simulated data from different experimental designs and treatment effects.
The comparison is made using a five-mode computer model of the 20 m Mini-Mast truss structure at the NASA Langley Research Center, and various noise levels are superimposed to produce simulated data.
Demographic parameter sets φ' that produce simulated data with a mean summary statistic close to the observed value reflect best estimates of the true demography.
The range of parameters chosen to produce simulated data with the described model was made in accordance with current estimates in different systems but mostly in microorganisms.
To test the effectiveness of the inference process and the adequacy of our data, we chose parameter sets from the prior, produced simulated data from these parameter sets, and then performed the sequential Monte Carlo method described above.
We produced simulated data sets for each of the three formats, RNA-Seq, WGS and exome, by taking reference sequences (Ensembl transcripts, the HuRef genome, and hg19 exon capture regions, respectively) and substituting HLA-I A, B and C sequences with two randomly chosen alleles of HLA-I A, B and C. From these modified references we generated faux sequence reads.
We try to fill this gap with MetaSim, a flexible tool for producing simulated read data sets, useful for designing metagenome projects and for testing and comparing metagenomic or assembly software.
When parameters were recovered from the simulation, we found no evidence of bias: the credible intervals of the recovered parameters enveloped the parameters that produced the simulated data.
Receiver operating characteristic (ROC) curves of simulated qHTS data are used to assess the overall ability of the algorithm to detect active compounds under toxicologically relevant conditions produced in simulated data sets.
