Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Accurate inference of genealogical relationships beten pairs of individuals is paramount in association studies, forensics and evolutionary analyses of wildlife populations. Current methods for relationship inference consider only a small set of close relationships and have limited to no por to distinguish beten relationships with the same number of meioses separating the individuals under consideration (e.g. aunt–niece versus niece–aunt or first cousins versus great aunt–niece).#R##N##R##N#Results:  present CARROT (ClAssification of Relationships with ROTations), a novel framework for relationship inference that leverages linkage information to differentiate beten rotated relationships, that is, beten relationships with the same number of common ancestors and the same number of meioses separating the individuals under consideration.  demonstrate that CARROT clearly outperforms existing methods on simulated data.  also applied CARROT on four populations from Phase III of the HapMap Project and detected previously unreported pairs of third-and fourth-degree relatives.#R##N##R##N#Availability: Source code for CARROT is freely available at http://carrot.stanford.edu.#R##N##R##N#Contact: sofiakp@stanford.edu
['Sofia Kyriazopoulou-Panagiotopoulou', 'Dorna Kashef Haghighi', 'Sarah J. Aerni', 'Andreas Sundquist', 'Sivan Bercovici', 'Serafim Batzoglou']
I am writing a research paper on a idea Reconstruction of genealogical relationships with applications to Phase III of HapMap
[{"from": "human", "value": "I am writing a research paper on a idea Reconstruction of genealogical relationships with applications to Phase III of HapMap"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Accurate inference of genealogical relationships beten pairs of individuals is paramount in association studies, forensics and evolutionary analyses of wildlife populations. Current methods for relationship inference consider only a small set of close relationships and have limited to no por to distinguish beten relationships with the same number of meioses separating the individuals under consideration (e.g. aunt\u2013niece versus niece\u2013aunt or first cousins versus great aunt\u2013niece).#R##N##R##N#Results:  present CARROT (ClAssification of Relationships with ROTations), a novel framework for relationship inference that leverages linkage information to differentiate beten rotated relationships, that is, beten relationships with the same number of common ancestors and the same number of meioses separating the individuals under consideration.  demonstrate that CARROT clearly outperforms existing methods on simulated data.  also applied CARROT on four populations from Phase III of the HapMap Project and detected previously unreported pairs of third-and fourth-degree relatives.#R##N##R##N#Availability: Source code for CARROT is freely available at http://carrot.stanford.edu.#R##N##R##N#Contact: sofiakp@stanford.edu"}]