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21.
公开(公告)号:US20220170118A1
公开(公告)日:2022-06-02
申请号:US17535998
申请日:2021-11-27
申请人: Indian Institute of Technology Bombay , Institute for Stem Cell Science and Regenerative Medicine , National Centre for Biological Sciences , Algorithmic Biologics Private Limited
发明人: Manoj Gopalkrishnan , Sabyasachi Ghosh , Ajit .V Rajwade , Dasaradhi Palakodeti , Sandeep Krishna
摘要: Methods and systems for determining viruses in biological samples using a single round based pooling. Embodiments disclosed herein relate to quantitative testing of biological samples, and more particularly to a quantitative, non-adaptive and single round pooling method for testing of viruses (for example: Coronavirus disease of 2019 (COVID-19), Severe Acute Respiratory Syndrome (SARS), or the like) in biological samples of individuals.
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公开(公告)号:US20220165357A1
公开(公告)日:2022-05-26
申请号:US17670207
申请日:2022-02-11
申请人: Clear Labs, Inc.
发明人: Sasan AMINI , Ramin KHAKSAR , Michael TAYLOR , Shadi SHOKRALLA , Christopher HANEY , Pavan VAIDYANATHAN , Stephanie POLLARD , Adam ALLRED , Sima MORTAZAVI , David TRAN , Hossein NAMAZI , Julius BARSI
IPC分类号: G16B35/10 , G16B25/20 , G16B30/20 , G16B35/20 , C12N15/10 , C12Q1/6806 , C12Q1/6869 , G01N35/00 , G01N35/10
摘要: Provided herein are automated apparatus for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by sequencing.
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23.
公开(公告)号:US20220028497A1
公开(公告)日:2022-01-27
申请号:US17291517
申请日:2019-08-30
发明人: Albert Jun Qi Keung , James M. Tuck, III , Kevin Volkel , Kyle Tomek , Kevin Lin
摘要: Processes and systems for non-destructively storing, accessing, and editing information using nucleic acids are disclosed. Representative processes include a process for extracting a data file from a database, wherein the data file comprises information encoded into one or more polynucleotide strands and wherein the database comprises a plurality of polynucleotide strands; a process for expanding a number of unique data files in a database that can be addressed with a predetermined number of oligonucleotide primers, wherein the unique data files each comprise information encoded into one or more polynucleotide strands and wherein the database comprises a plurality of polynucleotide strands; a process for differentially reading information encoded into one or more polynucleotide strands; a process for manipulating files while in storage; and a process for extracting a data file from a database, wherein the data file comprises information encoded into a polynucleotide strand. Systems for carrying out the processes are also disclosed.
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公开(公告)号:US20220002789A1
公开(公告)日:2022-01-06
申请号:US17294232
申请日:2019-11-14
申请人: THE BROAD INSTITUTE, INC. , PRESIDENT AND FELLOWS OF HARVARD COLLEGE , MASSACHUSETTS INSTITUTE OF TECHNOLOGY
IPC分类号: C12Q1/6827 , C12Q1/6823 , G16B25/20
摘要: Methods for generating primers and/or probes for use in analyzing a sample which may comprise a pathogen target sequence are provided, including identifying pan-viral sets of primers and/or probes.
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公开(公告)号:US11111542B2
公开(公告)日:2021-09-07
申请号:US16075808
申请日:2017-02-06
发明人: Jean Wang , John Dick , Stanley Ng , Mark Minden , Amanda Mitchell , Weihsu Chen , Peter Zandstra , James Kennedy
IPC分类号: C12Q1/6883 , C12Q1/6851 , C12Q1/6874 , G01N33/574 , G16B25/10 , G16B25/20 , G16B25/00 , G16B99/00 , C40B40/06 , C40B40/08
摘要: There is described herein a method of prognosing or classifying a subject with acute myeloid leukemia (AML) comprising: (a) determining the expression level of at least 3 genes in a test sample from the subject selected from the group consisting of DNMT3B, ZBTB46, NYNRIN, ARHGAP22, LAPTM4B, MMRN1, DPYSL3, KIAAQ125. CDK6, CPXM1, SOCS2, SMIM24, EMP1, NGFRAP1, CD34, AKR1C3, GPR56; and (b) comparing expression of the at least 3 genes in the test sample with reference expression levels of the at least 3 genes from control samples from a cohort of patients; wherein a difference or similarity in the expression of the at least 3 genes in the test sample and the reference expression levels is used to prognose or classify the subject with AML into a low risk group or a high risk group for worse survival.
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公开(公告)号:US10978173B2
公开(公告)日:2021-04-13
申请号:US16075192
申请日:2017-02-03
申请人: SEEGENE, INC.
发明人: Jong Yoon Chun , Young Jo Lee , Han Bit Lee
摘要: The present invention relates to a method for reducing a noise level of a data set for a target analyte in a sample. The present invention can reduce a noise level of a data set to a proper level conveniently by applying a noise-reduction ratio to the data set thereby the possibility of false positive may be reduced effectively. According to the present invention, the calibrated data set is obtained by using the noise-reduction ratio, so that the noise level of a data set is reduced without change of signal ratio between the data point in the data set.
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公开(公告)号:US20210098076A1
公开(公告)日:2021-04-01
申请号:US16864744
申请日:2020-05-01
发明人: Emil P. Kartalov , Aditya Rajagopal , Axel Scherer
IPC分类号: G16B25/00 , G16B5/00 , C12Q1/6851 , G16B25/20 , G16B40/10 , C12Q1/68 , G01N21/64 , C12Q1/6825
摘要: This disclosure provides methods, systems, compositions, and kits for the multiplexed detection of a plurality of analytes in a sample. In some examples, this disclosure provides methods, systems, compositions, and kits wherein multiple analytes may be detected in a single sample volume by acquiring a cumulative measurement or measurements of at least one quantifiable component of a signal. In some cases, additional components of a signal, or additional signals (or components thereof) are also quantified. Each signal or component of a signal may be used to construct a coding scheme which can then be used to determine the presence or absence of any analyte.
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公开(公告)号:US20210005282A1
公开(公告)日:2021-01-07
申请号:US16459948
申请日:2019-07-02
IPC分类号: G16B25/10 , G16B20/00 , G16B30/00 , G16B25/20 , C12Q1/6869
摘要: A computer-implemented method includes to determine a cell, tissue or a lesion representation in cell-free DNA comprises inputting, to a processor, cell-free DNA (cfDNA) genomic profiles from one or more fluid biopsy samples from a patient and one or more genomic profiles from one or more cells, tissues or lesions from the patient; constructing, by the processor, a plurality of synthetic fluid hypotheses (SFs); comparing, by the processor, each of the plurality of SFs to the cfDNA genomic profiles to determine goodness of fit, of each of the plurality of SFs; selecting, by the processor, a subset of the plurality of SFs, wherein each SF of the subset of SFs has a minimum distance in goodness of fit compared to the cfDNA genomic profile; and outputting, by the processor, based on the subset of SFs, a cell, tissue or a lesion representation in the cfDNA of the patient.
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公开(公告)号:US20200251181A1
公开(公告)日:2020-08-06
申请号:US16855535
申请日:2020-04-22
申请人: Clear Labs, Inc.
发明人: Sasan AMINI , Ramin KHAKSAR , Michael TAYLOR , Shadi SHOKRALLA , Christopher HANEY , Pavan VAIDYANATHAN , Stephanie POLLARD , Adam ALLRED , Sima MORTAZAVI , David TRAN , Hossein NAMAZI , Julius BARSI
摘要: Provided herein are automated apparatus for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by sequencing.
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公开(公告)号:US20200035331A1
公开(公告)日:2020-01-30
申请号:US16653564
申请日:2019-10-15
摘要: The disclosure relates to a re-writable DNA-based digital storage system with a random access feature. An example embodiment includes reading a physical nucleotide sequence of 2n+L bases to form a digital representation of the physical nucleotide sequence; dividing the digital representation of the physical nucleotide sequence into an address representation of n bases, followed by a data representation of L bases, followed by a further address representation of n bases; decoding the data representation into an integer value less than 3L that is a sum of a first addend and a second addend, wherein the data representation includes a first subsequence of bases encoding the first addend followed by a second subsequence of bases encoding the second addend; and storing, in a computer memory, the integer value.
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