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BMC Bioinformatics
|
July 16, 2015
groHMM: a computational tool for identifying unannotated and cell type-specific transcription units from global run-on sequencing data
Minho Chae, Charles G Danko, W Lee Kraus
Pharmacology
|
January 1, 1984
Effect of extra- and intracellular calcium blockers on histamine and antigen-induced bronchospasms in guinea pigs and rats
R W Chapman, G Danko, M I Siegel
Pharmacological Research Communications
|
February 1, 1985
Effect of propranolol on pulmonary function and bronchoconstrictor responsiveness in guinea pigs and rats
R W Chapman, G Danko, M I Siegel
Biorxiv : the Preprint Server for Biology
|
March 3, 2025
Accurate <i>de novo</i> transcription unit annotation from run-on and sequencing data
Paul R Munn, Jay Chia, Charles G Danko
Biorxiv : the Preprint Server for Biology
|
October 28, 2024
Training deep learning models on personalized genomic sequences improves variant effect prediction
Adam Y He, Nathan P Palamuttam, Charles G Danko
Methods in Molecular Biology (Clifton, N.J.)
|
November 25, 2022
Mapping Transcription Regulation with Run-on and Sequencing Data Using the Web-Based tfTarget Gateway
Nating Wang, Zhong Wang, Charles G Danko, et al.
Genome Research
|
July 14, 2018
A common pattern of DNase I footprinting throughout the human mtDNA unveils clues for a chromatin-like organization
Amit Blumberg, Charles G Danko, Anshul Kundaje, et al.
Experimental Brain Research
|
June 29, 2016
When EMG contamination does not necessarily hide high-frequency EEG: scalp electrical recordings before and after Dysport injections
Julia A Boytsova, Sergey G Danko, Svyatoslav V Medvedev
Journal of Virology
|
February 14, 2018
Herpes Simplex Virus 1 Dramatically Alters Loading and Positioning of RNA Polymerase II on Host Genes Early in Infection
Claire H Birkenheuer, Charles G Danko, Joel D Baines
Fiziologiia Cheloveka
|
June 23, 2018
[EEG Beta and Gamma Powers When Comparing Certain Psychophysiological States with Normal and Weakened Electromyogram of Facial Muscles.]
J A Boytsova, S G Danko, S V Medvedev
Page
of 11
Search research articles
Search
Showing results (11-20 of 103) with videos related to
Sort By:
Page
of 11
BMC Bioinformatics
|
July 16, 2015
groHMM: a computational tool for identifying unannotated and cell type-specific transcription units from global run-on sequencing data
Minho Chae, Charles G Danko, W Lee Kraus
Pharmacology
|
January 1, 1984
Effect of extra- and intracellular calcium blockers on histamine and antigen-induced bronchospasms in guinea pigs and rats
R W Chapman, G Danko, M I Siegel
Pharmacological Research Communications
|
February 1, 1985
Effect of propranolol on pulmonary function and bronchoconstrictor responsiveness in guinea pigs and rats
R W Chapman, G Danko, M I Siegel
Biorxiv : the Preprint Server for Biology
|
March 3, 2025
Accurate <i>de novo</i> transcription unit annotation from run-on and sequencing data
Paul R Munn, Jay Chia, Charles G Danko
Biorxiv : the Preprint Server for Biology
|
October 28, 2024
Training deep learning models on personalized genomic sequences improves variant effect prediction
Adam Y He, Nathan P Palamuttam, Charles G Danko
Methods in Molecular Biology (Clifton, N.J.)
|
November 25, 2022
Mapping Transcription Regulation with Run-on and Sequencing Data Using the Web-Based tfTarget Gateway
Nating Wang, Zhong Wang, Charles G Danko, et al.
Genome Research
|
July 14, 2018
A common pattern of DNase I footprinting throughout the human mtDNA unveils clues for a chromatin-like organization
Amit Blumberg, Charles G Danko, Anshul Kundaje, et al.
Experimental Brain Research
|
June 29, 2016
When EMG contamination does not necessarily hide high-frequency EEG: scalp electrical recordings before and after Dysport injections
Julia A Boytsova, Sergey G Danko, Svyatoslav V Medvedev
Journal of Virology
|
February 14, 2018
Herpes Simplex Virus 1 Dramatically Alters Loading and Positioning of RNA Polymerase II on Host Genes Early in Infection
Claire H Birkenheuer, Charles G Danko, Joel D Baines
Fiziologiia Cheloveka
|
June 23, 2018
[EEG Beta and Gamma Powers When Comparing Certain Psychophysiological States with Normal and Weakened Electromyogram of Facial Muscles.]
J A Boytsova, S G Danko, S V Medvedev
Page
of 11