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BMC Bioinformatics
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September 20, 2023
Correspondence on NanoVar's performance outlined by Jiang T. et al. in "Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation"
Cheng Yong Tham, Touati Benoukraf
Methods in Molecular Biology (Clifton, N.J.)
|
March 4, 2011
Processing ChIP-chip data: from the scanner to the browser
Pierre Cauchy, Touati Benoukraf, Pierre Ferrier
Current Protocols
|
April 25, 2025
Leveraging the MethMotif Toolkit to Characterize Context-Specific Features and Roles of Methylation Sensitive Transcription Factors
Matthew Dyer, Gastongay Siu, Denis Thieffry, et al.
Genome Research
|
September 16, 2010
A unique H3K4me2 profile marks tissue-specific gene regulation
Aleksandra Pekowska, Touati Benoukraf, Pierre Ferrier, et al.
Nature Protocols
|
October 16, 2025
Publisher Correction: NanoVar: a comprehensive workflow for structural variant detection to uncover the genome's hidden patterns
Asmaa Samy, Cheng Yong Tham, Matthew Dyer, et al.
Nature Protocols
|
October 1, 2025
NanoVar: a comprehensive workflow for structural variant detection to uncover the genome's hidden patterns
Asmaa Samy, Cheng Yong Tham, Matthew Dyer, et al.
Nucleic Acids Research
|
November 23, 2019
TFregulomeR reveals transcription factors' context-specific features and functions
Quy Xiao Xuan Lin, Denis Thieffry, Sudhakar Jha, et al.
Briefings in Bioinformatics
|
May 29, 2014
Methodological aspects of whole-genome bisulfite sequencing analysis
Swarnaseetha Adusumalli, Mohd Feroz Mohd Omar, Richie Soong, et al.
Oncotarget
|
November 30, 2016
Whole genome DNA methylation: beyond genes silencing
Roberto Tirado-Magallanes, Khadija Rebbani, Ricky Lim, et al.
Nucleic Acids Research
|
October 18, 2023
MethMotif.Org 2024: a database integrating context-specific transcription factor-binding motifs with DNA methylation patterns
Matthew Dyer, Quy Xiao Xuan Lin, Sofiia Shapoval, et al.
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of 6
Search research articles
Search
Showing results (1-10 of 59) with videos related to
Sort By:
Page
of 6
BMC Bioinformatics
|
September 20, 2023
Correspondence on NanoVar's performance outlined by Jiang T. et al. in "Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation"
Cheng Yong Tham, Touati Benoukraf
Methods in Molecular Biology (Clifton, N.J.)
|
March 4, 2011
Processing ChIP-chip data: from the scanner to the browser
Pierre Cauchy, Touati Benoukraf, Pierre Ferrier
Current Protocols
|
April 25, 2025
Leveraging the MethMotif Toolkit to Characterize Context-Specific Features and Roles of Methylation Sensitive Transcription Factors
Matthew Dyer, Gastongay Siu, Denis Thieffry, et al.
Genome Research
|
September 16, 2010
A unique H3K4me2 profile marks tissue-specific gene regulation
Aleksandra Pekowska, Touati Benoukraf, Pierre Ferrier, et al.
Nature Protocols
|
October 16, 2025
Publisher Correction: NanoVar: a comprehensive workflow for structural variant detection to uncover the genome's hidden patterns
Asmaa Samy, Cheng Yong Tham, Matthew Dyer, et al.
Nature Protocols
|
October 1, 2025
NanoVar: a comprehensive workflow for structural variant detection to uncover the genome's hidden patterns
Asmaa Samy, Cheng Yong Tham, Matthew Dyer, et al.
Nucleic Acids Research
|
November 23, 2019
TFregulomeR reveals transcription factors' context-specific features and functions
Quy Xiao Xuan Lin, Denis Thieffry, Sudhakar Jha, et al.
Briefings in Bioinformatics
|
May 29, 2014
Methodological aspects of whole-genome bisulfite sequencing analysis
Swarnaseetha Adusumalli, Mohd Feroz Mohd Omar, Richie Soong, et al.
Oncotarget
|
November 30, 2016
Whole genome DNA methylation: beyond genes silencing
Roberto Tirado-Magallanes, Khadija Rebbani, Ricky Lim, et al.
Nucleic Acids Research
|
October 18, 2023
MethMotif.Org 2024: a database integrating context-specific transcription factor-binding motifs with DNA methylation patterns
Matthew Dyer, Quy Xiao Xuan Lin, Sofiia Shapoval, et al.
Page
of 6