CA2981913A1 - Method and apparatus for estimating the quantity of microorganisms within a taxonomic unit in a sample - Google Patents

Method and apparatus for estimating the quantity of microorganisms within a taxonomic unit in a sample Download PDF

Info

Publication number
CA2981913A1
CA2981913A1 CA2981913A CA2981913A CA2981913A1 CA 2981913 A1 CA2981913 A1 CA 2981913A1 CA 2981913 A CA2981913 A CA 2981913A CA 2981913 A CA2981913 A CA 2981913A CA 2981913 A1 CA2981913 A1 CA 2981913A1
Authority
CA
Canada
Prior art keywords
computer
sample
microorganisms
reads
taxonomic
Prior art date
Legal status (The legal status 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 status listed.)
Abandoned
Application number
CA2981913A
Other languages
English (en)
French (fr)
Inventor
Henry Lin
Sitharthan Kamalakaran
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Koninklijke Philips NV
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 CA2981913A1 publication Critical patent/CA2981913A1/en
Abandoned legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B30/00ICT specially adapted for sequence analysis involving nucleotides or amino acids
    • G16B30/10Sequence alignment; Homology search
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/20Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B50/00ICT programming tools or database systems specially adapted for bioinformatics
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biotechnology (AREA)
  • Evolutionary Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Theoretical Computer Science (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Genetics & Genomics (AREA)
  • Molecular Biology (AREA)
  • Bioethics (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Apparatus Associated With Microorganisms And Enzymes (AREA)
CA2981913A 2015-04-09 2016-04-08 Method and apparatus for estimating the quantity of microorganisms within a taxonomic unit in a sample Abandoned CA2981913A1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201562145026P 2015-04-09 2015-04-09
US62/145,026 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 (1)

Publication Number Publication Date
CA2981913A1 true CA2981913A1 (en) 2016-10-13

Family

ID=55701971

Family Applications (1)

Application Number Title Priority Date Filing Date
CA2981913A Abandoned CA2981913A1 (en) 2015-04-09 2016-04-08 Method and apparatus for estimating the quantity of microorganisms within a taxonomic unit in a sample

Country Status (10)

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

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12100479B2 (en) 2017-03-01 2024-09-24 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
JP2011527562A (ja) * 2008-07-10 2011-11-04 ティーエーカウント イグザクト リミテッド 培養可能な細胞の計数のための方法、キット及びシステム
US20110295902A1 (en) * 2010-05-26 2011-12-01 Tata Consultancy Service 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
CN108107197B (zh) * 2011-07-19 2020-05-08 奥维茨奥成像系统公司 用于检测和/或分类细胞样品中的癌细胞的方法和系统
EP2964785B8 (en) * 2013-03-04 2020-10-21 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
MX391844B (es) 2025-03-21
CN107533587A (zh) 2018-01-02
CN107533587B (zh) 2021-10-08
AU2016245213A1 (en) 2017-11-23
RU2017138867A (ru) 2019-05-13
MX2017012758A (es) 2018-01-30
JP7023711B2 (ja) 2022-02-22
WO2016162504A1 (en) 2016-10-13
RU2017138867A3 (https=) 2020-06-26
JP2018518725A (ja) 2018-07-12
AU2021212155B2 (en) 2023-06-29
AU2021212155A1 (en) 2021-08-26
BR112017021318A2 (pt) 2018-06-26
EP3281136A1 (en) 2018-02-14
US20180129777A1 (en) 2018-05-10
RU2751241C2 (ru) 2021-07-12
US10998083B2 (en) 2021-05-04
EP3281136B1 (en) 2024-06-05

Similar Documents

Publication Publication Date Title
AU2021212155B2 (en) Method and apparatus for estimating the quantity of microorganisms within a taxonomic unit in a sample
Dilthey et al. Strain-level metagenomic assignment and compositional estimation for long reads with MetaMaps
Mohsen et al. Impact of quality trimming on the efficiency of reads joining and diversity analysis of Illumina paired-end reads in the context of QIIME1 and QIIME2 microbiome analysis frameworks
Odom et al. Metagenomic profiling pipelines improve taxonomic classification for 16S amplicon sequencing data
Ssekagiri et al. microbiomeSeq: an R package for analysis of microbial communities in an environmental context
Lindgreen et al. An evaluation of the accuracy and speed of metagenome analysis tools
Washburne et al. Methods for phylogenetic analysis of microbiome data
Poussin et al. Interrogating the microbiome: experimental and computational considerations in support of study reproducibility
Feijao et al. MentaLiST–A fast MLST caller for large MLST schemes
Sperling et al. Comparison of bacterial 16S rRNA variable regions for microbiome surveys of ticks
Whelan et al. A comprehensive evaluation of the sl1p pipeline for 16S rRNA gene sequencing analysis
Moran-Gilad et al. Proficiency testing for bacterial whole genome sequencing: an end-user survey of current capabilities, requirements and priorities
Davenport et al. Genometa-a fast and accurate classifier for short metagenomic shotgun reads
Jackson et al. A heritability-based comparison of methods used to cluster 16S rRNA gene sequences into operational taxonomic units
Gayevskiy et al. ObStruct: a method to objectively analyse factors driving population structure using Bayesian ancestry profiles
Yu et al. A review of bioinformatics platforms for comparative genomics. Recent developments of the EDGAR 2.0 platform and its utility for taxonomic and phylogenetic studies
US11473133B2 (en) Methods for validation of microbiome sequence processing and differential abundance analyses via multiple bespoke spike-in mixtures
Du et al. MetaCC allows scalable and integrative analyses of both long-read and short-read metagenomic Hi-C data
De Wolfe et al. Multi-factorial examination of amplicon sequencing workflows from sample preparation to bioinformatic analysis
Valverde et al. Analysis of metagenomic data containing high biodiversity levels
N’Guessan et al. Mobile gene sequence evolution within individual human gut microbiomes is better explained by gene-specific than host-specific selective pressures
Kim Bioinformatic and statistical analysis of microbiome data
Yadav et al. OTUX: V-region specific OTU database for improved 16S rRNA OTU picking and efficient cross-study taxonomic comparison of microbiomes
Sorbie et al. Increasing transparency and reproducibility in stroke-microbiota research: A toolbox for microbiota analysis
Didelot et al. KPop: An assembly-free and scalable method for the comparative analysis of microbial genomes

Legal Events

Date Code Title Description
EEER Examination request

Effective date: 20210406

FZDE Discontinued

Effective date: 20230808