发明名称 CHARACTERIZATION OF BIOLOGICAL MATERIAL IN A SAMPLE OR ISOLATE USING UNASSEMBLED SEQUENCE INFORMATION, PROBABILISTIC METHODS AND TRAIT-SPECIFIC DATABASE CATALOGS
摘要 The present invention relates to systems and methods for the characterization of biological material within a sample or isolate. The characterization may utilize probabilistic methods that compare sequencing information from fragment reads to sequencing information of reference genomic databases and/or trait-specific database catalogs. The characterization may be of the identities and/or relative concentrations or abundance of one or more organisms contained in the sample or isolate. The identification of the organisms may be to the species and/or sub-species and/or strain level with their relative concentrations or abundance. The characterization may additionally or alternatively be of one or more traits (i.e., characteristics) of the biological material contained in the sample or isolate. The characterization of the one or more traits may be with the relative abundance of the traits.
申请公布号 US2014288844(A1) 申请公布日期 2014.09.25
申请号 US201313836139 申请日期 2013.03.15
申请人 CosmosID Inc. 发明人 HASAN Nur A.;CEBULA Tom;LIVINGSTON Boyd Thomas;LI Huai;JAKUPCIAK David;COLWELL Rita R.;BRENNER Douglas M.
分类号 G06F19/24;G06F19/22 主分类号 G06F19/24
代理机构 代理人
主权项 1. A method of characterizing organisms based on sequence information derived from a sample containing genetic material from the organisms, the method comprising: (a) receiving, by a processing unit including a processor and memory, the sequence information derived from the sample, wherein the sequence information includes unassembled nucleotide fragment reads; (b) performing, by the processing unit, probabilistic methods that compare the unassembled nucleotide fragment reads with trait-specific reference sequence information contained in a trait-specific database catalog and produce probabilistic trait results; and (c) determining, by the processing unit, one or more traits associated with the organisms using the probabilistic trait results.
地址 US