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Additional file 11A. GAM plots for MAQC2 gene level brain data set using procedure 1.
Additional file 11B. GAM plots for MAQC2 gene level UHR data set using procedure 1.
Additional file 11C. GAM plots for Marioni liver data set using procedure 2.
Additional file 11D. GAM plots for Marioni kidney data set using procedure 2.
Additional file 11E. GAM plots for FRT-Seq data set using procedure 2.
Additional file 11F. GAM plots for Lee35 yeast data set using procedure 1.
Additional file 11G. GAM plots for Nagalakshmi oligo dT yeast data set using procedure 1.
Additional file 11H. GAM plots for Nagalakshmi random hexamer yeast data set using procedure 1.
Microarray Analysis Allows detection/ comparison of expression levels of multiple genes. What molecule could be used as an indicator of expression?
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Additional file 8A. PCA plots for MAQC2 gene level brain data set using procedure 1. PredictorNpar Fp-value length36.837
Figure S1: Clustering analysis of the expression ratio of the sense and antisense pair of transcripts A B C D E F A B C D E F dT Random Sense : Antisense.
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1 Computational Molecular Biology MPI for Molecular Genetics DNA sequence analysis Gene prediction Gene prediction methods Gene indices Mapping cDNA on.
RNA-Seq An alternative to microarray. Steps Grow cells or isolate tissue (brain, liver, muscle) Isolate total RNA Isolate mRNA from total RNA (poly.
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