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  1. Article: Identification of SARS-CoV-2 origin: Using Ngrams, principal component analysis and Random Forest algorithm.

    El Boujnouni, Hamoucha / Rahouti, Mohamed / El Boujnouni, Mohamed

    Informatics in medicine unlocked

    2021  Volume 24, Page(s) 100577

    Abstract: COVID-19 is an infectious disease caused by the newly discovered SARS-CoV-2 virus. This virus causes a respiratory tract infection, symptoms include dry cough, fever, tiredness and in more severe cases, breathing difficulty. SARS-CoV-2 is an extremely ... ...

    Abstract COVID-19 is an infectious disease caused by the newly discovered SARS-CoV-2 virus. This virus causes a respiratory tract infection, symptoms include dry cough, fever, tiredness and in more severe cases, breathing difficulty. SARS-CoV-2 is an extremely contagious virus that is spreading rapidly all over the world and the scientific community is working tirelessly to find an effective treatment. This paper aims to determine the origin of this virus by comparing its nucleic acid sequence with all members of the coronaviridae family. This study uses a new approach based on the combination of three powerful techniques which are: Ngrams (For text categorization), Principal Component Analysis (For dimensionality reduction) and Random Forest algorithm (For supervised classification). The experimental results have shown that a large set of SARS-CoV-2 genomes, collected from different locations around the world, present significant similarities to those found in pangolins. This finding confirms some previous results obtained by other methods, which also suggest that pangolins should be considered as possible hosts in the emergence of the new coronavirus.
    Language English
    Publishing date 2021-04-20
    Publishing country England
    Document type Journal Article
    ISSN 2352-9148
    ISSN 2352-9148
    DOI 10.1016/j.imu.2021.100577
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Identification of SARS-CoV-2 origin

    Hamoucha El Boujnouni / Mohamed Rahouti / Mohamed El Boujnouni

    Informatics in Medicine Unlocked, Vol 24, Iss , Pp 100577- (2021)

    Using Ngrams, principal component analysis and Random Forest algorithm

    2021  

    Abstract: COVID-19 is an infectious disease caused by the newly discovered SARS-CoV-2 virus. This virus causes a respiratory tract infection, symptoms include dry cough, fever, tiredness and in more severe cases, breathing difficulty. SARS-CoV-2 is an extremely ... ...

    Abstract COVID-19 is an infectious disease caused by the newly discovered SARS-CoV-2 virus. This virus causes a respiratory tract infection, symptoms include dry cough, fever, tiredness and in more severe cases, breathing difficulty. SARS-CoV-2 is an extremely contagious virus that is spreading rapidly all over the world and the scientific community is working tirelessly to find an effective treatment. This paper aims to determine the origin of this virus by comparing its nucleic acid sequence with all members of the coronaviridae family. This study uses a new approach based on the combination of three powerful techniques which are: Ngrams (For text categorization), Principal Component Analysis (For dimensionality reduction) and Random Forest algorithm (For supervised classification). The experimental results have shown that a large set of SARS-CoV-2 genomes, collected from different locations around the world, present significant similarities to those found in pangolins. This finding confirms some previous results obtained by other methods, which also suggest that pangolins should be considered as possible hosts in the emergence of the new coronavirus.
    Keywords Bioinformatics ; Genomes ; SARS-CoV-2 ; COVID-19 ; Ngrams ; Principal component analysis ; Computer applications to medicine. Medical informatics ; R858-859.7
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Comparison between the recovery rate of three concentration protocols of water samples intended for analysis by Molecular Biology: Membrane filtration, filtration on gauze pad and centrifugation.

    El Boujnouni, Hamoucha / Nait Balla, Kaoutar / Belkadi, Bouchra / Rahouti, Mohamed

    Saudi journal of biological sciences

    2021  Volume 29, Issue 3, Page(s) 1592–1597

    Abstract: The presence of microorganisms (bacteria, protozoa, viruses, etc.) in water is a crucial indicator of its quality and safety. The detection of these microorganisms by conventional and classical techniques is widely used in water quality control ... ...

    Abstract The presence of microorganisms (bacteria, protozoa, viruses, etc.) in water is a crucial indicator of its quality and safety. The detection of these microorganisms by conventional and classical techniques is widely used in water quality control laboratories; nevertheless these methods have limitations in terms of rapidity and precision of results. The use of Molecular Biology has been a great evolution in the techniques of water analysis. However, the choice of the concentration protocol allowing for the best rate of microorganism recovery in a suspension remains a real challenge. The objective of this experimental study is to compare the recovery rate of three different protocols of water concentration (membrane filtration, filtration on gauze pad and centrifugation) for samples intended for analysis by polymerase chain reaction PCR. Which can then serve as a reference protocol for water quality control laboratories. The experimental results have shown that the membrane filtration protocol yields the best recovery rate and concentration of microorganisms followed by filtration on gauze pad, while the centrifugation protocol (8000
    Language English
    Publishing date 2021-11-11
    Publishing country Saudi Arabia
    Document type Journal Article
    ZDB-ID 2515206-3
    ISSN 2213-7106 ; 1319-562X
    ISSN (online) 2213-7106
    ISSN 1319-562X
    DOI 10.1016/j.sjbs.2021.11.004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Comparison between the recovery rate of three concentration protocols of water samples intended for analysis by Molecular Biology

    Hamoucha El Boujnouni / Kaoutar Nait Balla / Bouchra Belkadi / Mohamed Rahouti

    Saudi Journal of Biological Sciences, Vol 29, Iss 3, Pp 1592-

    Membrane filtration, filtration on gauze pad and centrifugation

    2022  Volume 1597

    Abstract: The presence of microorganisms (bacteria, protozoa, viruses, etc.) in water is a crucial indicator of its quality and safety. The detection of these microorganisms by conventional and classical techniques is widely used in water quality control ... ...

    Abstract The presence of microorganisms (bacteria, protozoa, viruses, etc.) in water is a crucial indicator of its quality and safety. The detection of these microorganisms by conventional and classical techniques is widely used in water quality control laboratories; nevertheless these methods have limitations in terms of rapidity and precision of results. The use of Molecular Biology has been a great evolution in the techniques of water analysis. However, the choice of the concentration protocol allowing for the best rate of microorganism recovery in a suspension remains a real challenge. The objective of this experimental study is to compare the recovery rate of three different protocols of water concentration (membrane filtration, filtration on gauze pad and centrifugation) for samples intended for analysis by polymerase chain reaction PCR. Which can then serve as a reference protocol for water quality control laboratories. The experimental results have shown that the membrane filtration protocol yields the best recovery rate and concentration of microorganisms followed by filtration on gauze pad, while the centrifugation protocol (8000g, 10 min, 22 °C) gives the lowest rate of recovery out of the three protocols. The experimental results obtained through this study allows us to contribute to the optimization and standardization of water samples concentration techniques intended for analysis by Molecular Biology.
    Keywords Water ; Concentration ; Microorganisms ; Filtration ; Centrifugation ; PCR ; Biology (General) ; QH301-705.5
    Subject code 660
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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