Abstract: Methods and systems for simultaneously evaluating genomic or biological sequences across multiple population members, and methods and systems for simultaneously calling normal and cancerous genomic or biological sequences from a mixed sample containing normal and cancerous material are disclosed. This may be achieved by evaluating the probability of one or more hypothesis being correct for a plurality of population members based on genomic or biological sequence information for the population. For related family members, Mendelian inheritance may be integrated into the method. For populations, information from members under evaluation may be used to refine priors to more accurately call population members. Copy number variation, de novo mutations, and phenotypic traits and their genetic explanations may also be accommodated in the methods. Specific systems for implementing the methods are also disclosed.

Abstract: Methods and systems for simultaneously evaluating biological sequences across multiple population members, and methods and systems for simultaneously calling normal and cancerous biological sequences from a mixed sample containing normal and cancerous material are disclosed. This may be achieved by evaluating the probability of one or more hypothesis being correct for a plurality of population members based on biological sequence information for the population. For related family members, Mendelian inheritance may be integrated into the method. For populations, information from members under evaluation may be used to refine priors to more accurately call population members. Copy number variation, de novo mutations, and phenotypic traits and their genetic explanations may also be accommodated in the methods. Specific systems for implementing the methods are also disclosed.

Abstract: Methods and systems for simultaneously evaluating genomic sequences across multiple population members, and methods and systems for simultaneously calling normal and cancerous genomic sequences from a mixed sample containing normal and cancerous material are disclosed. This may be achieved by evaluating the probability of one or more hypothesis being correct for a plurality of population members based on genomic sequence information for the population. For related family members, Mendelian inheritance may be integrated into the method. For populations, information from members under evaluation may be used to refine priors to more accurately call population members. Copy number variation and de novo mutations may also be accommodated in the methods. Specific systems for implementing the methods are also disclosed.