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| A bioinformatic approach to identify pathogenic variants for Stevens-Johnson syndrome |
| Muhammad Ma’ruf, Justitia Cahyani Fadli, Muhammad Reza Mahendra, Lalu Muhammad Irham, Nanik Sulistyani, Wirawan Adikusuma, Rockie Chong, Abdi Wira Septama |
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Genomics Inform. 2023;21(2):e26 Published online June 30, 2023 DOI: https://doi.org/10.5808/gi.23010 |
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A bioinformatic approach to identify pathogenic variants for Stevens-Johnson syndrome Genomics & Informatics. 2023;21(2):e26  Identifying pathogenic variants related to systemic lupus erythematosus by integrating genomic databases and a bioinformatic approach Genomics & Informatics. 2023;21(3):e37 Ethosuximide Reactions Weekly. 2018;1703(1):113-113 CLINICAL AND PATHOGENIC VARIANTS OF THE COVID SYNDROME InterConf. 2021;312-313 Stevens-Johnson Syndrome Encyclopedia of Cancer. 2011;3531-3531 Multiple drugs Reactions Weekly. 2022;1936(1):359-359 PO-646-07 KCNH2 VARIANTS IDENTIFIED AS PATHOGENIC, DAMAGING, AND DYSFUNCTIONAL DO NOT RELIABLY IDENTIFY LONG QT SYNDROME IN LARGE PATIENT BIOBANK Heart Rhythm. 2022;19(5):S230 Methylprednisolone/pembrolizumab/prednisone Reactions Weekly. 2022;1901(1):309-309 Integrated bioinformatic pipeline using whole-exome and RNAseq data to identify germline variants correlated with cancer STAR Protocols. 2022;3(2):101273 Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis Are Severity Variants of the Same Disease which Differs from Erythema Multiforme The Journal of Dermatology. 1997;24(11):726-729 |
