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HTqPCR - high-throughput qPCR analysis in R and Bioconductor

Tue - Aug 1, 2017 10:00am (2 hours)

Quantitative real-time polymerase chain reaction (qPCR) is routinely used for RNA expression profiling, validation of microarray hybridization data and clinical diagnostic assays. HTqPCR, a package for the R statistical computing environment aids to enable the processing and analysis of qPCR data in high throughput across multiple conditions or replicates, and in spatially-defined formats such ABI TaqMan Low Density Arrays and conventional 96- or 384-well plates. The workshop is designed to help researchers learn how to load data into HTqPCR and carryout quality assessment, normalization, visualization and parametric or non-parametric testing for statistical significance in Ct values between features (e.g. genes, microRNAs).

Location Countway Library at Harvard Medical School Lower Level 2, Room 025 Countway Library, Lower Level 2, 025

InstructorGali Reddy, Harvard Catalyst / Countway
Type of ClassBioinformatics - Microarrays and Gene Expression
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