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    Sensitivity improvement of Phase-Noise Measurement of mcrowave oscillators using if delay line based discriminator

    , Article IEEE Microwave and Wireless Components Letters ; Volume 26, Issue 7 , 2016 , Pages 546-548 ; 15311309 (ISSN) Salehi Barzegar, A ; Banai, A ; Farzaneh, F ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc 
    Abstract
    The conventional delay-line discriminator method for phase noise measurement is modified to achieve better sensitivity. In the proposed technique, to decrease delay-line loss, the under-test oscillator's microwave frequency is down-converted by another oscillator, and delay-line is implemented in the IF range. Full validation of the technique is presented. In adition, we experimentally demonstrate that system sensitivity is considerably improved compared to the conventional method  

    SVNN: an efficient PacBio-specific pipeline for structural variations calling using neural networks

    , Article BMC Bioinformatics ; Volume 22, Issue 1 , 2021 ; 14712105 (ISSN) Akbarinejad, S ; Hadadian Nejad Yousefi, M ; Goudarzi, M ; Sharif University of Technology
    BioMed Central Ltd  2021
    Abstract
    Background: Once aligned, long-reads can be a useful source of information to identify the type and position of structural variations. However, due to the high sequencing error of long reads, long-read structural variation detection methods are far from precise in low-coverage cases. To be accurate, they need to use high-coverage data, which in turn, results in an extremely time-consuming pipeline, especially in the alignment phase. Therefore, it is of utmost importance to have a structural variation calling pipeline which is both fast and precise for low-coverage data. Results: In this paper, we present SVNN, a fast yet accurate, structural variation calling pipeline for PacBio long-reads... 

    SVNN: an efficient PacBio-specific pipeline for structural variations calling using neural networks

    , Article BMC Bioinformatics ; Volume 22, Issue 1 , 2021 ; 14712105 (ISSN) Akbarinejad, S ; Hadadian Nejad Yousefi, M ; Goudarzi, M ; Sharif University of Technology
    BioMed Central Ltd  2021
    Abstract
    Background: Once aligned, long-reads can be a useful source of information to identify the type and position of structural variations. However, due to the high sequencing error of long reads, long-read structural variation detection methods are far from precise in low-coverage cases. To be accurate, they need to use high-coverage data, which in turn, results in an extremely time-consuming pipeline, especially in the alignment phase. Therefore, it is of utmost importance to have a structural variation calling pipeline which is both fast and precise for low-coverage data. Results: In this paper, we present SVNN, a fast yet accurate, structural variation calling pipeline for PacBio long-reads...