Serveur d'exploration MERS - Exploration (Accueil)

Index « Mesh.i » - entrée « Transcription Factors »
Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.
Transcription Factor TFIIH < Transcription Factors < Transcription Factors, TFII  Facettes :

List of bibliographic references indexed by Transcription Factors

Number of relevant bibliographic references: 69.
[0-20] [0 - 20][0 - 50][20-40]
Ident.Authors (with country if any)Title
000391 (2019) Laura L. Colbran [États-Unis] ; Ling Chen [États-Unis] ; John A. Capra [États-Unis]Sequence Characteristics Distinguish Transcribed Enhancers from Promoters and Predict Their Breadth of Activity.
000551 (2019) Katarzyna Wreczycka [Allemagne] ; Vedran Franke [Allemagne] ; Bora Uyar [Allemagne] ; Ricardo Wurmus [Allemagne] ; Selman Bulut [Allemagne] ; Baris Tursun [Allemagne] ; Altuna Akalin [Allemagne]HOT or not: examining the basis of high-occupancy target regions
000907 (2018) Hirokazu Kurahashi [Japon] ; Yoshiteru Azuma [Japon] ; Akio Masuda [Japon] ; Tatsuya Okuno [Japon] ; Eri Nakahara [Japon] ; Takuji Imamura [Japon] ; Makiko Saitoh [Japon] ; Masashi Mizuguchi [Japon] ; Toshiaki Shimizu [Japon] ; Kinji Ohno [Japon] ; Akihisa Okumura [Japon]MYRF is associated with encephalopathy with reversible myelin vacuolization.
000A55 (2018) Carl G. De Boer [États-Unis] ; Aviv Regev [États-Unis]BROCKMAN: deciphering variance in epigenomic regulators by k-mer factorization
000A83 (2018) Yuchun Guo [États-Unis] ; Kevin Tian [États-Unis] ; Haoyang Zeng [États-Unis] ; Xiaoyun Guo [États-Unis] ; David Kenneth Gifford [États-Unis]A novel k-mer set memory (KSM) motif representation improves regulatory variant prediction.
000B51 (2017) Abdulkadir Elmas [États-Unis] ; Xiaodong Wang [États-Unis] ; Jacqueline M. Dresch [États-Unis]The folded k-spectrum kernel: A machine learning approach to detecting transcription factor binding sites with gapped nucleotide dependencies
000B58 (2017) Yong Hu [République populaire de Chine] ; Wei Li [République populaire de Chine] ; Ting Gao [République populaire de Chine] ; Yan Cui [République populaire de Chine] ; Yanwen Jin [République populaire de Chine] ; Ping Li [République populaire de Chine] ; Qingjun Ma [République populaire de Chine] ; Xuan Liu [Oman] ; Cheng Cao [Oman]The Severe Acute Respiratory Syndrome Coronavirus Nucleocapsid Inhibits Type I Interferon Production by Interfering with TRIM25-Mediated RIG-I Ubiquitination.
000E51 (2017) Zhen Gao [États-Unis] ; Jianhua Ruan [États-Unis]Computational modeling of in vivo and in vitro protein-DNA interactions by multiple instance learning.
000E74 (2017) Christin Müller [Allemagne] ; Falk W. Schulte [Allemagne] ; Kerstin Lange-Grünweller [Allemagne] ; Wiebke Obermann [Allemagne] ; Ramakanth Madhugiri [Allemagne] ; Stephan Pleschka [Allemagne] ; John Ziebuhr [Allemagne] ; Roland K. Hartmann [Allemagne] ; Arnold Grünweller [Allemagne]Broad-spectrum antiviral activity of the eIF4A inhibitor silvestrol against corona- and picornaviruses
001028 (2016) Dana Chen [Israël] ; Yaron Orenstein [Israël] ; Rada Golodnitsky [Israël] ; Michal Pellach [Israël] ; Dorit Avrahami [Israël] ; Chaim Wachtel [Israël] ; Avital Ovadia-Shochat [Israël] ; Hila Shir-Shapira [Israël] ; Adi Kedmi [Israël] ; Tamar Juven-Gershon [Israël] ; Ron Shamir [Israël] ; Doron Gerber [Israël]SELMAP - SELEX affinity landscape MAPping of transcription factor binding sites using integrated microfluidics
001240 (2016) Haoyang Zeng ; Tatsunori Hashimoto ; Daniel D. Kang ; David K. Gifford [États-Unis]GERV: a statistical method for generative evaluation of regulatory variants for transcription factor binding.
001325 (2016) Katherine Gurdziel [États-Unis] ; Kyle R. Vogt [États-Unis] ; Gary Schneider [États-Unis] ; Neil Richards [États-Unis] ; Deborah L. Gumucio [États-Unis]Computational prediction and experimental validation of novel Hedgehog-responsive enhancers linked to genes of the Hedgehog pathway
001395 (2016) Josep Basha Gutierrez [Japon] ; Kenta Nakai [Japon]A study on the application of topic models to motif finding algorithms
001693 (2015) Ximiao He ; Desiree Tillo ; Jeff Vierstra ; Khund-Sayeed Syed ; Callie Deng ; G. Jordan Ray ; John Stamatoyannopoulos ; Peter C. Fitzgerald ; Charles VinsonMethylated Cytosines Mutate to Transcription Factor Binding Sites that Drive Tetrapod Evolution
001A31 (2014) Maxwell A. Hume [États-Unis] ; Luis A. Barrera [États-Unis] ; Stephen S. Gisselbrecht [États-Unis] ; Martha L. Bulyk [États-Unis]UniPROBE, update 2015: new tools and content for the online database of protein-binding microarray data on protein–DNA interactions
001A95 (2014) Mahmoud Ghandi [États-Unis] ; Morteza Mohammad-Noori ; Michael A. BeerRobust k-mer frequency estimation using gapped k-mers.
001B25 (2014) Vineet D. Menachery ; Amie J. Eisfeld ; Alexandra Sch Fer ; Laurence Josset ; Amy C. Sims ; Sean Proll ; Shufang Fan ; Chengjun Li ; Gabriele Neumann ; Susan C. Tilton ; Jean Chang ; Lisa E. Gralinski ; Casey Long ; Richard Green ; Christopher M. Williams ; Jeffrey Weiss ; Melissa M. Matzke ; Bobbie-Jo Webb-Robertson ; Athena A. Schepmoes ; Anil K. Shukla ; Thomas O. Metz ; Richard D. Smith ; Katrina M. Waters ; Michael G. Katze ; Yoshihiro Kawaoka [États-Unis] ; Ralph S. BaricPathogenic Influenza Viruses and Coronaviruses Utilize Similar and Contrasting Approaches To Control Interferon-Stimulated Gene Responses
001B43 (2014) Xiaolei Wang ; Hiroyuki Kuwahara ; Xin GaoModeling DNA affinity landscape through two-round support vector regression with weighted degree kernels
001D62 (2014) Yaron Orenstein ; Ron ShamirA comparative analysis of transcription factor binding models learned from PBM, HT-SELEX and ChIP data
001F97 (2013) Juhani K H R [Finlande] ; Harri L Hdesm Ki [Finlande]Evaluating a linear k-mer model for protein-DNA interactions using high-throughput SELEX data
002024 (2013) Ka-Chun Wong [Canada] ; Tak-Ming Chan [États-Unis] ; Chengbin Peng ; Yue Li [Canada] ; Zhaolei Zhang [Canada]DNA motif elucidation using belief propagation

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/MersV1/Data/Main/Exploration
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/Mesh.i -k "Transcription Factors" 
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/Mesh.i  \
                -Sk "Transcription Factors" \
         | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd 

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    MersV1
   |flux=    Main
   |étape=   Exploration
   |type=    indexItem
   |index=    Mesh.i
   |clé=    Transcription Factors
}}

Wicri

This area was generated with Dilib version V0.6.33.
Data generation: Mon Apr 20 23:26:43 2020. Site generation: Sat Mar 27 09:06:09 2021