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  1. Article ; Online: Complete Genome Sequences of Nine Streptococcus pneumoniae Serotype 3 Clonal Complex 180 Strains.

    Shambhu, Smitha / Cella, Eleonora / Jubair, Mohammad / Azarian, Taj

    Microbiology resource announcements

    2022  Volume 11, Issue 7, Page(s) e0027522

    Abstract: We announce the complete genomes of nine Streptococcus pneumoniae strains belonging to serotype 3 clonal complex 180 (CC180). The genomes consist of a single circularized contig with an average length of 2.033 Mbp. Pangenome analysis identified 1,762 ... ...

    Abstract We announce the complete genomes of nine Streptococcus pneumoniae strains belonging to serotype 3 clonal complex 180 (CC180). The genomes consist of a single circularized contig with an average length of 2.033 Mbp. Pangenome analysis identified 1,762 core genes and 412 accessory genes. These genomes are the basis for future population genomic studies.
    Language English
    Publishing date 2022-05-31
    Publishing country United States
    Document type Journal Article
    ISSN 2576-098X
    ISSN (online) 2576-098X
    DOI 10.1128/mra.00275-22
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Complete Genome Sequence of Exfoliative Toxin-Producing Staphylococcus aureus Strain MSSA_SSSS_01, Obtained from a Case of Staphylococcal Scalded-Skin Syndrome.

    Cella, Eleonora / David, Michael Z / Jubair, Mohammad / Baines, Sarah L / Pegues, David A / Azarian, Taj

    Microbiology resource announcements

    2021  Volume 10, Issue 6

    Abstract: Here, we announce the complete genome sequence of an exfoliative toxin-producing strain ... ...

    Abstract Here, we announce the complete genome sequence of an exfoliative toxin-producing strain of
    Language English
    Publishing date 2021-02-11
    Publishing country United States
    Document type Journal Article
    ISSN 2576-098X
    ISSN (online) 2576-098X
    DOI 10.1128/MRA.01335-20
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Streptococcus pneumoniae

    Cella, Eleonora / Sutcliffe, Catherine G / Grant, Lindsay R / Tso, Carol / Weatherholtz, Robert C / Littlepage, Shea / Becenti, Ladonna / Jubair, Mohammad / Simons, Brenna C / Harker-Jones, Marcella / Reid, Raymond / Yazzie, Del / Santosham, Mathuram / O'Brien, Katherine L / Hammitt, Laura L / Azarian, Taj

    Microbial genomics

    2024  Volume 10, Issue 3

    Abstract: Background. ...

    Abstract Background.
    MeSH term(s) Child ; Adult ; Humans ; Streptococcus pneumoniae ; Vaccines, Conjugate ; Serogroup ; Pneumococcal Infections/epidemiology ; Pneumococcal Infections/prevention & control ; Pneumococcal Vaccines ; Incidence
    Chemical Substances Vaccines, Conjugate ; Pneumococcal Vaccines
    Language English
    Publishing date 2024-03-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835258-0
    ISSN 2057-5858 ; 2057-5858
    ISSN (online) 2057-5858
    ISSN 2057-5858
    DOI 10.1099/mgen.0.001196
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Coding-complete genomes of 18 SARS-CoV-2 Omicron JN.1, JN.1.4, and JN.1.11 sub-lineages in Bangladesh.

    Tahsin, Anika / Hasan, Mahin / Rahman, Saikt / Jubair, Mohammad / Afrad, Mokibul Hassan / Khan, Manjur Hossain / Alam, Md Shaheen / Begum, Mst Noorjahan / Karim, Md Yeasir / Mukta, Sharmin Aktar / Habib, Mohammad Tanbir / Alam, Ahmed Nawsher / Chowdhury, Emran Kabir / Rahman, Md Rofiqur / Ryan, Edward T / Shirin, Tahmina / Rahman, Mustafizur / Qadri, Firdausi

    Microbiology resource announcements

    2024  , Page(s) e0013524

    Abstract: We report 18 coding-complete genome sequences of emerging SARS-CoV-2 Omicron sub-lineages JN.1, JN.1.4, and JN.1.11 from Bangladesh. Nasopharyngeal swab samples were obtained from individuals with COVID-19 symptoms between December 2023 and January 2024. ...

    Abstract We report 18 coding-complete genome sequences of emerging SARS-CoV-2 Omicron sub-lineages JN.1, JN.1.4, and JN.1.11 from Bangladesh. Nasopharyngeal swab samples were obtained from individuals with COVID-19 symptoms between December 2023 and January 2024. Whole genome sequencing was performed following the ARTIC Network-based protocol using Oxford Nanopore Technology.
    Language English
    Publishing date 2024-04-24
    Publishing country United States
    Document type Journal Article
    ISSN 2576-098X
    ISSN (online) 2576-098X
    DOI 10.1128/mra.00135-24
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: BdSL36

    Hoque, Oishee Bintey / Jubair, Mohammad Imrul / Akash, Al-Farabi / Islam, Saiful

    A Dataset for Bangladeshi Sign Letters Recognition

    2021  

    Abstract: Bangladeshi Sign Language (BdSL) is a commonly used medium of communication for the hearing-impaired people in Bangladesh. A real-time BdSL interpreter with no controlled lab environment has a broad social impact and an interesting avenue of research as ... ...

    Abstract Bangladeshi Sign Language (BdSL) is a commonly used medium of communication for the hearing-impaired people in Bangladesh. A real-time BdSL interpreter with no controlled lab environment has a broad social impact and an interesting avenue of research as well. Also, it is a challenging task due to the variation in different subjects (age, gender, color, etc.), complex features, and similarities of signs and clustered backgrounds. However, the existing dataset for BdSL classification task is mainly built in a lab friendly setup which limits the application of powerful deep learning technology. In this paper, we introduce a dataset named BdSL36 which incorporates background augmentation to make the dataset versatile and contains over four million images belonging to 36 categories. Besides, we annotate about 40,000 images with bounding boxes to utilize the potentiality of object detection algorithms. Furthermore, several intensive experiments are performed to establish the baseline performance of our BdSL36. Moreover, we employ beta testing of our classifiers at the user level to justify the possibilities of real-world application with this dataset. We believe our BdSL36 will expedite future research on practical sign letter classification. We make the datasets and all the pre-trained models available for further researcher.

    Comment: Proceedings of the Asian Conference on Computer Vision (ACCV) Workshops, 2020
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 004
    Publishing date 2021-10-02
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Book ; Online: Jamdani Motif Generation using Conditional GAN

    Shawon, MD Tanvir Rouf / Tanvir, Raihan / Shifa, Humaira Ferdous / Kar, Susmoy / Jubair, Mohammad Imrul

    2022  

    Abstract: Jamdani is the strikingly patterned textile heritage of Bangladesh. The exclusive geometric motifs woven on the fabric are the most attractive part of this craftsmanship having a remarkable influence on textile and fine art. In this paper, we have ... ...

    Abstract Jamdani is the strikingly patterned textile heritage of Bangladesh. The exclusive geometric motifs woven on the fabric are the most attractive part of this craftsmanship having a remarkable influence on textile and fine art. In this paper, we have developed a technique based on the Generative Adversarial Network that can learn to generate entirely new Jamdani patterns from a collection of Jamdani motifs that we assembled, the newly formed motifs can mimic the appearance of the original designs. Users can input the skeleton of a desired pattern in terms of rough strokes and our system finalizes the input by generating the complete motif which follows the geometric structure of real Jamdani ones. To serve this purpose, we collected and preprocessed a dataset containing a large number of Jamdani motifs images from authentic sources via fieldwork and applied a state-of-the-art method called pix2pix to it. To the best of our knowledge, this dataset is currently the only available dataset of Jamdani motifs in digital format for computer vision research. Our experimental results of the pix2pix model on this dataset show satisfactory outputs of computer-generated images of Jamdani motifs and we believe that our work will open a new avenue for further research.

    Comment: 2020 23rd International Conference on Computer and Information Technology (ICCIT), 2020, pp. 1-6
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2022-12-22
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  7. Article ; Online: SARS-CoV-2 Omicron variants in Bangladesh: Pandemic to endemic.

    Jubair, Mohammad / Begum, Mst Noorjahan / Rahman, Sezanur / Haider, Sourav Mohammad Arefeen / Moon, Shovan B / Hossain, Mohammad Enayet / Rahman, Mohammed Ziaur / Khan, Manjur H / Alam, Ahmed N / Shirin, Tahmina / Afrad, Mokibul H / Qadri, Firdausi / Rahman, Mustafizur

    Health science reports

    2023  Volume 6, Issue 3, Page(s) e1134

    Language English
    Publishing date 2023-03-02
    Publishing country United States
    Document type Journal Article
    ISSN 2398-8835
    ISSN (online) 2398-8835
    DOI 10.1002/hsr2.1134
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Draft Genome Sequence of

    Kennedy, Sarah J / Cella, Eleonora / Jubair, Mohammad / Azarian, Taj / Baker, Bill J / Shaw, Lindsey N

    Microbiology resource announcements

    2020  Volume 9, Issue 13

    Abstract: Here, we present the draft genome sequence ... ...

    Abstract Here, we present the draft genome sequence of
    Language English
    Publishing date 2020-03-26
    Publishing country United States
    Document type Journal Article
    ISSN 2576-098X
    ISSN (online) 2576-098X
    DOI 10.1128/MRA.00176-20
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Coding-complete genomes of XBB.1.16, XBB.2.3, FL.4 (alias of XBB.1.9.1.4), and XBB.3 of SARS-CoV-2 Omicron isolated from Bangladesh.

    Rahman, Saikt / Habib, Mohammad Tanbir / Afrad, Mokibul Hassan / Hasan, Mahin / Tahsin, Anika / Jubair, Mohammad / Khan, Manjur Hossain / Alam, Ahmed Nawsher / Chowdhury, Emran Kabir / Rahman, Mustafizur / Ryan, Edward Thomas / Shirin, Tahmina / Qadri, Firdausi

    Microbiology resource announcements

    2023  Volume 12, Issue 10, Page(s) e0056223

    Abstract: We announce the coding-complete genomes of four different strains of SARS-CoV-2 Omicron lineages, XBB.1.16, XBB.2.3, FL.4 (alias of XBB.1.9.1.4), and XBB.3. These strains were obtained between October 2022 and May 2023 from nasopharyngeal swabs of four ... ...

    Abstract We announce the coding-complete genomes of four different strains of SARS-CoV-2 Omicron lineages, XBB.1.16, XBB.2.3, FL.4 (alias of XBB.1.9.1.4), and XBB.3. These strains were obtained between October 2022 and May 2023 from nasopharyngeal swabs of four Bangladeshi individuals, while one of them had a travel history. Genomic data were produced by implementing ARTIC Network-based amplicon sequencing using the Oxford Nanopore Technology.
    Language English
    Publishing date 2023-09-05
    Publishing country United States
    Document type Journal Article
    ISSN 2576-098X
    ISSN (online) 2576-098X
    DOI 10.1128/MRA.00562-23
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Complete genome sequence of

    Khan, Tahsin / Haider, Arefeen / Rahman, Sezanur / Moon, Shovan Basak / Mahamud, Imtiaz / Mondal, Shakhinur Islam / Begum, Anowara / Biswas, Sudhangshu Kumar / Jubair, Mohammad / Rahman, Mustafizur

    Microbiology resource announcements

    2023  Volume 13, Issue 1, Page(s) e0084223

    Abstract: Antimicrobial resistance (AMR) in bacteria poses a global health emergency due to limited treatment options. Here, we report a lytic bacteriophage belonging ... ...

    Abstract Antimicrobial resistance (AMR) in bacteria poses a global health emergency due to limited treatment options. Here, we report a lytic bacteriophage belonging to
    Language English
    Publishing date 2023-11-29
    Publishing country United States
    Document type Journal Article
    ISSN 2576-098X
    ISSN (online) 2576-098X
    DOI 10.1128/MRA.00842-23
    Database MEDical Literature Analysis and Retrieval System OnLINE

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