Traditional variant calling, that is bayesian methods, have gotten very good at detecting point mutations, that is single letters. But have hit a wall when it c

Traditional variant calling, that is bayesian methods, have gotten very good at detecting point mutations, that is single letters. But have hit a wall when it comes to more complex structural mutations, we wanted to build this for example to focus on driver/passenger mutations in tumor/normal samples. (check out the "Preface" post for our LSTM version, and the logic behind this)