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MX2017012758A - Metodo y aparato para estimar la cantidad de microorganismos en una unidad taxonomica en una muestra. - Google Patents

Metodo y aparato para estimar la cantidad de microorganismos en una unidad taxonomica en una muestra.

Info

Publication number
MX2017012758A
MX2017012758A MX2017012758A MX2017012758A MX2017012758A MX 2017012758 A MX2017012758 A MX 2017012758A MX 2017012758 A MX2017012758 A MX 2017012758A MX 2017012758 A MX2017012758 A MX 2017012758A MX 2017012758 A MX2017012758 A MX 2017012758A
Authority
MX
Mexico
Prior art keywords
sample
readings
microorganisms
taxonomic units
present
Prior art date
Application number
MX2017012758A
Other languages
English (en)
Other versions
MX391844B (es
Inventor
Kamalakaran Sitharthan
Lin Henry
Original Assignee
Koninklijke Philips Nv
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Koninklijke Philips Nv filed Critical Koninklijke Philips Nv
Publication of MX2017012758A publication Critical patent/MX2017012758A/es
Publication of MX391844B publication Critical patent/MX391844B/es

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B30/00—ICT specially adapted for sequence analysis involving nucleotides or amino acids
    • G16B30/10—Sequence alignment; Homology search
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/20—Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B50/00—ICT programming tools or database systems specially adapted for bioinformatics
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Biotechnology (AREA)
  • Evolutionary Biology (AREA)
  • Biophysics (AREA)
  • Theoretical Computer Science (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Medical Informatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Molecular Biology (AREA)
  • Genetics & Genomics (AREA)
  • Bioethics (AREA)
  • Databases & Information Systems (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Apparatus Associated With Microorganisms And Enzymes (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Se describen métodos y aparatos para identificar y cuantificar microorganismos presentes en una muestra. Las lecturas de secuencias son clasificadas usando métodos existentes, sin embargo los resultados de clasificación son corregidos para tomar en cuenta el número de lecturas que se espera que sean clasificadas erróneamente, tal como se determina mediante simulación. Con estadísticas en cuanto al número esperado de lecturas mal clasificadas, se puede usar un método de mínimos cuadrados lineal (no negativo o de otro tipo) u otra técnica relacionada para ajustar el número de lecturas que se clasifican a varias unidades taxonómicas (por ejemplo, especies) y determinar valores más exactos en cuanto a las cantidades de aquellas unidades taxonómicas realmente presentes en la muestra, eliminando microorganismos en unidades taxonómicas falsamente determinados que están presentes en la muestra.
MX2017012758A 2015-04-09 2016-04-08 Metodo y aparato para estimar la cantidad de microorganismos en una unidad taxonomica en una muestra. MX391844B (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201562145026P 2015-04-09 2015-04-09
PCT/EP2016/057799 WO2016162504A1 (en) 2015-04-09 2016-04-08 Method and apparatus for estimating the quantity of microorganisms within a taxonomic unit in a sample

Publications (2)

Publication Number Publication Date
MX2017012758A true MX2017012758A (es) 2018-01-30
MX391844B MX391844B (es) 2025-03-21

Family

ID=55701971

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2017012758A MX391844B (es) 2015-04-09 2016-04-08 Metodo y aparato para estimar la cantidad de microorganismos en una unidad taxonomica en una muestra.

Country Status (10)

Country Link
US (1) US10998083B2 (es)
EP (1) EP3281136B1 (es)
JP (1) JP7023711B2 (es)
CN (1) CN107533587B (es)
AU (2) AU2016245213A1 (es)
BR (1) BR112017021318A2 (es)
CA (1) CA2981913A1 (es)
MX (1) MX391844B (es)
RU (1) RU2751241C2 (es)
WO (1) WO2016162504A1 (es)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018160899A1 (en) * 2017-03-01 2018-09-07 Bluedot Llc Systems and methods for metagenomic analysis
CN110277139B (zh) * 2019-06-18 2023-03-21 江苏省产品质量监督检验研究院 一种基于互联网的微生物限度检查系统及方法
CN113284560B (zh) * 2021-04-28 2022-05-17 广州微远基因科技有限公司 病原检测背景微生物判断方法及应用
CN114334004B (zh) * 2021-12-04 2024-03-15 江苏先声医学诊断有限公司 一种病原微生物快速比对鉴定方法及其应用
CN115841847B (zh) * 2022-12-12 2023-05-12 哈尔滨因极科技有限公司 一种微生物信息测定及提取系统和方法

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6780602B2 (en) * 2001-11-01 2004-08-24 Microbiosystems, Limited Partnership Taxonomic identification of pathogenic microorganisms and their toxic proteins
CN102089419A (zh) * 2008-07-10 2011-06-08 塔康特精确有限公司 用于进行可培养细胞计数的方法、试剂盒和系统
EP2390810B1 (en) * 2010-05-26 2019-10-16 Tata Consultancy Services Limited Taxonomic classification of metagenomic sequences
KR101347509B1 (ko) * 2011-06-20 2014-01-06 가톨릭대학교 산학협력단 섬망 고위험군 예측모형 시스템 및 그 예측모형 방법, 및 그것을 이용한 섬망 고위험군 예측 시스템
US9684281B2 (en) * 2011-07-19 2017-06-20 Ovizio Imaging Systems NV/SA Method and system for detecting and/or classifying cancerous cells in a cell sample
US9914979B2 (en) * 2013-03-04 2018-03-13 Fry Laboratories, LLC Method and kit for characterizing microorganisms
CN104252627A (zh) * 2013-06-28 2014-12-31 广州华多网络科技有限公司 Svm分类器训练样本获取方法、训练方法及其系统
CN103627800B (zh) * 2013-11-14 2015-02-25 浙江天科高新技术发展有限公司 环境微生物快速检测方法

Also Published As

Publication number Publication date
BR112017021318A2 (pt) 2018-06-26
JP7023711B2 (ja) 2022-02-22
RU2017138867A3 (es) 2020-06-26
RU2017138867A (ru) 2019-05-13
CA2981913A1 (en) 2016-10-13
RU2751241C2 (ru) 2021-07-12
WO2016162504A1 (en) 2016-10-13
CN107533587B (zh) 2021-10-08
AU2016245213A1 (en) 2017-11-23
MX391844B (es) 2025-03-21
AU2021212155A1 (en) 2021-08-26
US10998083B2 (en) 2021-05-04
EP3281136A1 (en) 2018-02-14
AU2021212155B2 (en) 2023-06-29
US20180129777A1 (en) 2018-05-10
JP2018518725A (ja) 2018-07-12
EP3281136B1 (en) 2024-06-05
CN107533587A (zh) 2018-01-02

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