FastQC

FastQC aims to provide a simple way to do some quality control checks on raw sequence data coming from high throughput sequencing pipelines. It provides a modular set of analyses which you can use to give a quick impression of whether your data has any problems of which you should be aware before doing any further analysis.

Exomiser

Variants are prioritised according to user-defined criteria on variant frequency, pathogenicity, quality, inheritance pattern, and model organism phenotype data. Predicted pathogenicity data was extracted from the dbNSFP resource. Cross-species phenotype comparisons come from our PhenoDigm tool powered by the OWLSim algorithm.

The Exomiser was developed by the Computational Biology and Bioinformatics group at the Institute for Medical Genetics and Human Genetics of the Charité - Universitätsmedizin Berlin, the Mouse Informatics Group at the Sanger Institute and the Lewis group at the Lawrence Berkeley National Labs.

Various other tools can be found here as well:

LIRICAL

PhenIX

Phenogrid

Dipper

HPO Case Annotator