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README.md

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 # MACIE (Multi-dimensional Annotation Class Integrative Estimation)
 
 ## Description
-Thank you for your interest in MACIE. MACIE (Multi-dimensional Annotation Class Integrative Estimation) is an unsupervised multivariate mixed model framework capable of integrating annotations of diverse origin to assess multi-dimensional functional roles for both coding and noncoding variants in the human genome.
+Thank you for your interest in MACIE. MACIE (Multi-dimensional Annotation Class Integrative Estimation) is an unsupervised multivariate mixed model framework to assess multi-dimensional functional impacts for both coding and non-coding variants in the human genome. MACIE integrates a variety of functional annotations, including protein function scores, evolutionary conservation scores, and epigenetic annotations from ENCODE and Roadmap Epigenomics, and estimates the joint posterior probabilities of each genetic variant being functional.
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 ## Data Availability and Reproducibility
 The MACIE scores (and other integrative scores) used in all benchmarking examples are available for download [here](https://drive.google.com/drive/folders/1gzqsfgaO1WCh5pAQUgVlUNsX9HYneO7p?usp=sharing). Precomputed MACIE scores for all nonsynonymous coding, synonymous coding and noncoding variants in the human genome is under construction.