A perl pipeline for identifying differentially expressed genomic regions from transcript counting experiments.
The pipeline first uses a Hidden Markov Model (HMM) to identify genomic regions based on the data from the experiment.
During the sample counting step the pipeline removes reads which are suspected as being PCR duplicates.
The differential expression analysis is currently performed using the DESeq package from Bioconductor.
Follow DETCT
Other Useful Business Software
Gemini 3 and 200+ AI Models on One Platform
Build generative AI apps with Vertex AI. Switch between models without switching platforms.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of DETCT!