Genotype Likelihoods IMputation and PhaSing mEthod

GLIMPSE is a phasing and imputation method for large-scale low-coverage sequencing studies.

Main features of the method:

1. Accurate imputed genotype calls. Our method takes advantage of reference panels to produce high quality genotype calls.
2. Accurate phasing. GLIMPSE outputs accurate phased haplotypes for the low-coverage sequenced dataset.
3. Low-coverage sequencing outperforms SNP arrays. Imputation using low-coverage sequencing data is competitive to SNP array imputation. Results for European and African-American populations are interactively available on the website.
4. A cost-effective paradigm. GLIMPSE realises whole genome imputation from the HRC reference panel for less than 1$.

GLIMPSE tools is available under the MIT licence on the Github repository https://github.com/odelaneau/GLIMPSE.

If you use the GLIMPSE in your research work, please cite the following paper:

Simone Rubinacci, Diogo Ribeiro, Robin Hofmeister, Olivier Delaneau. Efficient phasing and imputation of low-coverage sequencing data using large reference panels. BiorXiv [Preprint], 2020.

GLIMPSE is developed by Simone Rubinacci and Olivier Delaneau at the University of Lausanne, Switzerland.