Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Ramzan Umarov"'
Autor:
Yu Li, Zeling Xu, Wenkai Han, Huiluo Cao, Ramzan Umarov, Aixin Yan, Ming Fan, Huan Chen, Carlos M. Duarte, Lihua Li, Pak-Leung Ho, Xin Gao
Publikováno v:
Microbiome, Vol 9, Iss 1, Pp 1-12 (2021)
Abstract Background The spread of antibiotic resistance has become one of the most urgent threats to global health, which is estimated to cause 700,000 deaths each year globally. Its surrogates, antibiotic resistance genes (ARGs), are highly transmit
Externí odkaz:
https://doaj.org/article/6a62358d67c749c99382697d2a9a8015
Autor:
Sateesh Maddirevula, Hiroyuki Kuwahara, Nour Ewida, Hanan E. Shamseldin, Nisha Patel, Fatema Alzahrani, Tarfa AlSheddi, Eman AlObeid, Mona Alenazi, Hessa S. Alsaif, Maha Alqahtani, Maha AlAli, Hatoon Al Ali, Rana Helaby, Niema Ibrahim, Firdous Abdulwahab, Mais Hashem, Nadine Hanna, Dorota Monies, Nada Derar, Afaf Alsagheir, Amal Alhashem, Badr Alsaleem, Hamoud Alhebbi, Sami Wali, Ramzan Umarov, Xin Gao, Fowzan S. Alkuraya
Publikováno v:
Genome Biology, Vol 21, Iss 1, Pp 1-21 (2020)
Abstract Background At least 50% of patients with suspected Mendelian disorders remain undiagnosed after whole-exome sequencing (WES), and the extent to which non-coding variants that are not captured by WES contribute to this fraction is unclear. Wh
Externí odkaz:
https://doaj.org/article/052ae740d08a4962859a648a9b6078b5
Autor:
Jordy Homing Lam, Yu Li, Lizhe Zhu, Ramzan Umarov, Hanlun Jiang, Amélie Héliou, Fu Kit Sheong, Tianyun Liu, Yongkang Long, Yunfei Li, Liang Fang, Russ B. Altman, Wei Chen, Xuhui Huang, Xin Gao
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
Interactions between proteins and RNA are an important mechanism for post-transcriptional regulation, but predicting these interactions is difficult. Through a deep learning approach, here the authors predict RNA-binding sites and binding preference
Externí odkaz:
https://doaj.org/article/361a2a5e8af64738999759aa8027bf6e
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 10, p e1009465 (2021)
Drug treatment induces cell type specific transcriptional programs, and as the number of combinations of drugs and cell types grows, the cost for exhaustive screens measuring the transcriptional drug response becomes intractable. We developed DeepCel
Externí odkaz:
https://doaj.org/article/1e922526e25248f6b5086385720b05c1
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1009376 (2021)
Regulatory elements control gene expression through transcription initiation (promoters) and by enhancing transcription at distant regions (enhancers). Accurate identification of regulatory elements is fundamental for annotating genomes and understan
Externí odkaz:
https://doaj.org/article/d8d98f21607c4485a344943049cf5b7b
Autor:
Xin Gao, Wenkai Han, Zeling Xu, Ramzan Umarov, Pak-Leung Ho, Huiluo Cao, Ming Fan, Yu Li, Aixin Yan, Huan Chen, Carlos M. Duarte, Lihua Li
Publikováno v:
Microbiome, Vol 9, Iss 1, Pp 1-12 (2021)
Microbiome
Microbiome
Background The spread of antibiotic resistance has become one of the most urgent threats to global health, which is estimated to cause 700,000 deaths each year globally. Its surrogates, antibiotic resistance genes (ARGs), are highly transmittable bet
Publikováno v:
Bioinformatics. 35:2730-2737
MotivationComputational identification of promoters is notoriously difficult as human genes often have unique promoter sequences that provide regulation of transcription and interaction with transcription initiation complex. While there are many atte
Publikováno v:
SSRN Electronic Journal.
Ribonucleic acid (RNA) secondary structures are the determining factor for the many roles RNA plays in life. They can be obtained experimentally by techniques such as X-ray diffraction and NMR imaging. However, given that experimental methods are lab
Autor:
Li, Yu, Zeling Xu, Wenkai Han, Huiluo Cao, Ramzan Umarov, Aixin Yan, Fan, Ming, Chen, Huan, Duarte, Carlos M., Lihua Li, Pak-Leung Ho, Gao, Xin
Additional file 1: Figure S1: ROC curve comparison. For ARG/Non-ARG prediction, we set different thresholds for the last layer of the HMD-ARG model and different parameters for DeepARG, drawing the above ROC curves. The figure suggests that HMD-ARG i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8742d7ee77ea1c17253e51f3ce965e6f
Drug treatment induces cell type-specific transcriptional programs, and as the number of combinations of drugs and cell types grows, the cost for exhaustive screens measuring the transcriptional drug response becomes intractable. We developed DeepCel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1af35bbda7eb0e4af8f3afda43589b67
https://doi.org/10.1101/2020.12.14.422792
https://doi.org/10.1101/2020.12.14.422792