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  1. Article: Workstation peril: Paradoxical inability to ventilate in manual/spontaneous mode with mechanical ventilation modes unaffected.

    Shah, Shagun B / Dubey, Jitendra Kumar / Chaudhary, Vineet / Chawla, Rajiv

    Indian journal of anaesthesia

    2022  Volume 66, Issue 8, Page(s) 612–614

    Language English
    Publishing date 2022-08-22
    Publishing country India
    Document type Journal Article
    ZDB-ID 412570-8
    ISSN 0019-5049
    ISSN 0019-5049
    DOI 10.4103/ija.ija_243_22
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Clinical pearls in anaesthesia for electromyographic tube guided robotic thyroidectomy.

    Shah, Shagun Bhatia / Dubey, Jitendra Kumar / Bhardwaj, Manoj / Mittal, Amit

    Indian journal of anaesthesia

    2021  Volume 65, Issue Suppl 1, Page(s) S51–S53

    Language English
    Publishing date 2021-03-20
    Publishing country India
    Document type Journal Article
    ZDB-ID 412570-8
    ISSN 0019-5049
    ISSN 0019-5049
    DOI 10.4103/ija.IJA_402_20
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Management of laryngeal mask airway induced hiccups using dexmedetomedine.

    Koteswara, Chethan Manohara / Dubey, Jitendra Kumar

    Indian journal of anaesthesia

    2013  Volume 57, Issue 1, Page(s) 85

    Language English
    Publishing date 2013-05-28
    Publishing country India
    Document type Journal Article
    ZDB-ID 412570-8
    ISSN 0019-5049
    ISSN 0019-5049
    DOI 10.4103/0019-5049.108583
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Peri-incisional catheters through open surgical wound in converted nephrectomies: A novel modification of transverse abdominis plane block.

    Mittal, Amit Kumar / Goel, Nitesh / Dubey, Jitendra Kumar / Bansal, Prashant / Singh, Amitabh

    Indian journal of urology : IJU : journal of the Urological Society of India

    2016  Volume 32, Issue 2, Page(s) 169–170

    Language English
    Publishing date 2016-03-25
    Publishing country India
    Document type Journal Article
    ZDB-ID 639268-4
    ISSN 1998-3824 ; 0970-1591
    ISSN (online) 1998-3824
    ISSN 0970-1591
    DOI 10.4103/0970-1591.179194
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: A novel sequence and context based method for promoter recognition.

    P, Umesh / Dubey, Jitendra Kumar / Rv, Karthika / Cherian, Betsy Sheena / Gopalakrishnan, Gopakumar / Nair, Achuthsankar Sukumaran

    Bioinformation

    2014  Volume 10, Issue 4, Page(s) 175–179

    Abstract: Unlabelled: Identification of promoters in DNA sequence using computational techniques is a significant research area because of its direct association in transcription regulation. A wide range of algorithms are available for promoter prediction. Most ... ...

    Abstract Unlabelled: Identification of promoters in DNA sequence using computational techniques is a significant research area because of its direct association in transcription regulation. A wide range of algorithms are available for promoter prediction. Most of them are polymerase dependent and cannot handle eukaryotes and prokaryotes alike. This study proposes a polymerase independent algorithm, which can predict whether a given DNA fragment is a promoter or not, based on the sequence features and statistical elements. This algorithm considers all possible pentamers formed from the nucleotides A, C, G, and T along with CpG islands, TATA box, initiator elements, and downstream promoter elements. The highlight of the algorithm is that it is not polymerase specific and can predict for both eukaryotes and prokaryotes in the same computational manner even though the underlying biological mechanisms of promoter recognition differ greatly. The proposed Method, Promoter Prediction System - PPS-CBM achieved a sensitivity, specificity, and accuracy percentages of 75.08, 83.58 and 79.33 on E. coli data set and 86.67, 88.41 and 87.58 on human data set. We have developed a tool based on PPS-CBM, the proposed algorithm, with which multiple sequences of varying lengths can be tested simultaneously and the result is reported in a comprehensive tabular format. The tool also reports the strength of the prediction.
    Availability: The tool and source code of PPS-CBM is available at http://keralabs.org.
    Language English
    Publishing date 2014-04-23
    Publishing country Singapore
    Document type Journal Article
    ZDB-ID 2203786-X
    ISSN 0973-2063
    ISSN 0973-2063
    DOI 10.6026/97320630010175
    Database MEDical Literature Analysis and Retrieval System OnLINE

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