Literature DB >> 21901740

Biological sequence motif discovery using motif-x.

Michael F Chou1, Daniel Schwartz.   

Abstract

The Web-based motif-x program provides a simple interface to extract statistically significant motifs from large data sets, such as MS/MS post-translational modification data and groups of proteins that share a common biological function. Users upload data files and download results using common Web browsers on essentially any Web-compatible computer. Once submitted, data analyses are performed rapidly on an associated high-speed computer cluster and they produce both syntactic and image-based motif results and statistics. The protocols presented demonstrate the use of motif-x in three common user scenarios.
© 2011 by John Wiley & Sons, Inc.

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Year:  2011        PMID: 21901740     DOI: 10.1002/0471250953.bi1315s35

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  179 in total

1.  Quantitative phosphoproteomic analysis of IL-33-mediated signaling.

Authors:  Sneha M Pinto; Raja Sekhar Nirujogi; Pamela Leal Rojas; Arun H Patil; Srikanth S Manda; Yashwanth Subbannayya; Juan Carlos Roa; Aditi Chatterjee; T S Keshava Prasad; Akhilesh Pandey
Journal:  Proteomics       Date:  2015-01       Impact factor: 3.984

2.  Monitoring Cellular Phosphorylation Signaling Pathways into Chromatin and Down to the Gene Level.

Authors:  Yumiao Han; Zuo-Fei Yuan; Rosalynn C Molden; Benjamin A Garcia
Journal:  Mol Cell Proteomics       Date:  2015-11-05       Impact factor: 5.911

3.  Uncovering Phosphorylation-Based Specificities through Functional Interaction Networks.

Authors:  Omar Wagih; Naoyuki Sugiyama; Yasushi Ishihama; Pedro Beltrao
Journal:  Mol Cell Proteomics       Date:  2015-11-16       Impact factor: 5.911

4.  Phosphoproteomics Profiling of Tobacco Mature Pollen and Pollen Activated in vitro.

Authors:  Jan Fíla; Sonja Radau; Andrea Matros; Anja Hartmann; Uwe Scholz; Jana Feciková; Hans-Peter Mock; Věra Čapková; René Peiman Zahedi; David Honys
Journal:  Mol Cell Proteomics       Date:  2016-01-20       Impact factor: 5.911

5.  ATM directs DNA damage responses and proteostasis via genetically separable pathways.

Authors:  Ji-Hoon Lee; Michael R Mand; Chung-Hsuan Kao; Yi Zhou; Seung W Ryu; Alicia L Richards; Joshua J Coon; Tanya T Paull
Journal:  Sci Signal       Date:  2018-01-09       Impact factor: 8.192

6.  Systems-level Analysis Reveals Multiple Modulators of Epithelial-mesenchymal Transition and Identifies DNAJB4 and CD81 as Novel Metastasis Inducers in Breast Cancer.

Authors:  Zeynep Cansu Uretmen Kagiali; Erdem Sanal; Özge Karayel; Ayse Nur Polat; Özge Saatci; Pelin Gülizar Ersan; Kathrin Trappe; Bernhard Y Renard; Tamer T Önder; Nurcan Tuncbag; Özgür Şahin; Nurhan Ozlu
Journal:  Mol Cell Proteomics       Date:  2019-06-20       Impact factor: 5.911

7.  Quantitative assessment of in-solution digestion efficiency identifies optimal protocols for unbiased protein analysis.

Authors:  Ileana R León; Veit Schwämmle; Ole N Jensen; Richard R Sprenger
Journal:  Mol Cell Proteomics       Date:  2013-06-21       Impact factor: 5.911

8.  Proteomic and Phosphoproteomic Changes Induced by Prolonged Activation of Human Eosinophils with IL-3.

Authors:  Stephane Esnault; Alexander S Hebert; Nizar N Jarjour; Joshua J Coon; Deane F Mosher
Journal:  J Proteome Res       Date:  2018-05-04       Impact factor: 4.466

9.  Site-Specific K63 Ubiquitinomics Provides Insights into Translation Regulation under Stress.

Authors:  Songhee Back; Andrew W Gorman; Christine Vogel; Gustavo M Silva
Journal:  J Proteome Res       Date:  2018-12-10       Impact factor: 4.466

10.  An Integrative Analysis of the InR/PI3K/Akt Network Identifies the Dynamic Response to Insulin Signaling.

Authors:  Arunachalam Vinayagam; Meghana M Kulkarni; Richelle Sopko; Xiaoyun Sun; Yanhui Hu; Ankita Nand; Christians Villalta; Ahmadali Moghimi; Xuemei Yang; Stephanie E Mohr; Pengyu Hong; John M Asara; Norbert Perrimon
Journal:  Cell Rep       Date:  2016-09-13       Impact factor: 9.423

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