Aziz Khan
Aziz Khan
Stanford Cancer Institute, Stanford University
Потвърден имейл адрес: stanford.edu - Начална страница
JASPAR 2018: update of the open-access database of transcription factor binding profiles and its web framework
A Khan, O Fornes, A Stigliani, M Gheorghe, JA Castro-Mondragon, ...
Nucleic acids research 46 (D1), D260-D266, 2018
JASPAR 2020: update of the open-access database of transcription factor binding profiles
O Fornes, JA Castro-Mondragon, A Khan, R van der Lee, X Zhang, ...
Nucleic acids research, 2019
Bioconda: Sustainable and comprehensive software distribution for the life sciences
R Dale, B Grüning, A Sjödin, J Rowe, BA Chapman, CH Tomkins-Tinch, ...
Nature Methods 15 (7), 475-476, 2018
JASPAR 2022: the 9th release of the open-access database of transcription factor binding profiles
JA Castro-Mondragon, R Riudavets-Puig, I Rauluseviciute, ...
Nucleic acids research 50 (D1), D165-D173, 2022
dbSUPER: a database of super-enhancers in mouse and human genome
A Khan, X Zhang
Nucleic acids research 44 (D1), D164-D171, 2016
Intervene: a tool for intersection and visualization of multiple gene or genomic region sets
A Khan, A Mathelier
BMC bioinformatics 18 (1), 1-8, 2017
The Human Tumor Atlas Network: charting tumor transitions across space and time at single-cell resolution
O Rozenblatt-Rosen, A Regev, P Oberdoerffer, T Nawy, A Hupalowska, ...
Cell 181 (2), 236-249, 2020
Changing scientific meetings for the better
S Sarabipour, A Khan, YFS Seah, AD Mwakilili, FN Mumoki, PJ Sáez, ...
Nature Human Behaviour 5 (3), 296-300, 2021
A map of direct TF–DNA interactions in the human genome
M Gheorghe, GK Sandve, A Khan, J Chèneby, B Ballester, A Mathelier
Nucleic acids research 47 (4), e21-e21, 2019
Modeling RNA-binding protein specificity in vivo by precisely registering protein-RNA crosslink sites
H Feng, S Bao, MA Rahman, SM Weyn-Vanhentenryck, A Khan, J Wong, ...
Molecular cell 74 (6), 1189-1204. e6, 2019
High OGT activity is essential for MYC-driven proliferation of prostate cancer cells
HM Itkonen, A Urbanucci, SES Martin, A Khan, A Mathelier, B Thiede, ...
Theranostics 9 (8), 2183, 2019
Super-enhancers are transcriptionally more active and cell type-specific than stretch enhancers
A Khan, A Mathelier, X Zhang
Epigenetics 13 (9), 910-922, 2018
Adaptive watermark strength selection using particle swarm optimization
M Ishtiaq, B Sikandar, MA Jaffar, A Khan
ICIC Express Letters 4 (5), 1-6, 2010
UniBind: maps of high-confidence direct TF-DNA interactions across nine species
RR Puig, P Boddie, A Khan, JA Castro-Mondragon, A Mathelier
BMC Genomics 22 (482), 2021
MITI Minimum Information guidelines for highly multiplexed tissue images
D Schapiro, C Yapp, A Sokolov, SM Reynolds, YA Chen, D Sudar, Y Xie, ...
Nature Methods 19 (3), 262-267, 2022
JASPAR RESTful API: accessing JASPAR data from any programming language
A Khan, A Mathelier
Bioinformatics 34 (9), 1612-1614, 2018
Molecular classification and biomarkers of clinical outcome in breast ductal carcinoma in situ: Analysis of TBCRC 038 and RAHBT cohorts
SH Strand, B Rivero-Gutiérrez, KE Houlahan, JA Seoane, LM King, ...
Cancer Cell, 2022
Integrative modeling reveals key chromatin and sequence signatures predicting super-enhancers
A Khan, X Zhang
Scientific Reports 9 (1), 2877, 2019
Put science first and formatting later
A Khan, A Montenegro‐Montero, A Mathelier
EMBO reports 19 (5), e45731, 2018
BiasAway: command-line and web server to generate nucleotide composition-matched DNA background sequences
A Khan, R Riudavets Puig, P Boddie, A Mathelier
Bioinformatics 37 (11), 1607-1609, 2021
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