Literature DB >> 17400726

SCEPTRANS: an online tool for analyzing periodic transcription in yeast.

Andrzej Kudlicki1, Maga Rowicka, Zbyszek Otwinowski.   

Abstract

SUMMARY: SCEPTRANS is designed for analysis of microarray timecourse data related to periodic phenomena in the budding yeast. The server allows for easy viewing of temporal profiles of multiple genes in a number of datasets. Additional functionality includes searching for coexpressed genes, periodicity and correlation analysis, integrating functional annotation and localization data as well as advanced operations on sets of genes. AVAILABILITY: Available online at http://sceptrans.org/

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Year:  2007        PMID： 17400726     DOI： 10.1093/bioinformatics/btm126

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  21 in total

1.  Metabolic cycling in single yeast cells from unsynchronized steady-state populations limited on glucose or phosphate.

Authors:  Sanford J Silverman; Allegra A Petti; Nikolai Slavov; Lance Parsons; Ryan Briehof; Stephan Y Thiberge; Daniel Zenklusen; Saumil J Gandhi; Daniel R Larson; Robert H Singer; David Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-24       Impact factor: 11.205

2.  Reverse engineering dynamic temporal models of biological processes and their relationships.

Authors:  Naren Ramakrishnan; Satish Tadepalli; Layne T Watson; Richard F Helm; Marco Antoniotti; Bud Mishra
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-22       Impact factor: 11.205

3.  Coordination of growth rate, cell cycle, stress response, and metabolic activity in yeast.

Authors:  Matthew J Brauer; Curtis Huttenhower; Edoardo M Airoldi; Rachel Rosenstein; John C Matese; David Gresham; Viktor M Boer; Olga G Troyanskaya; David Botstein
Journal:  Mol Biol Cell       Date:  2007-10-24       Impact factor: 4.138

4.  High-resolution timing of cell cycle-regulated gene expression.

Authors:  Maga Rowicka; Andrzej Kudlicki; Benjamin P Tu; Zbyszek Otwinowski
Journal:  Proc Natl Acad Sci U S A       Date:  2007-09-07       Impact factor: 11.205

5.  The interaction network of the chaperonin CCT.

Authors:  Carien Dekker; Peter C Stirling; Elizabeth A McCormack; Heather Filmore; Angela Paul; Renee L Brost; Michael Costanzo; Charles Boone; Michel R Leroux; Keith R Willison
Journal:  EMBO J       Date:  2008-05-29       Impact factor: 11.598

6.  Coevolution of Residues Provides Evidence of a Functional Heterodimer of 5-HT2AR and 5-HT2CR Involving Both Intracellular and Extracellular Domains.

Authors:  Bernard Fongang; Kathryn A Cunningham; Maga Rowicka; Andrzej Kudlicki
Journal:  Neuroscience       Date:  2019-06-01       Impact factor: 3.590

7.  Riboneogenesis in yeast.

Authors:  Michelle F Clasquin; Eugene Melamud; Alexander Singer; Jessica R Gooding; Xiaohui Xu; Aiping Dong; Hong Cui; Shawn R Campagna; Alexei Savchenko; Alexander F Yakunin; Joshua D Rabinowitz; Amy A Caudy
Journal:  Cell       Date:  2011-06-10       Impact factor: 41.582

8.  Snf1-Dependent Transcription Confers Glucose-Induced Decay upon the mRNA Product.

Authors:  Katherine A Braun; Kenneth M Dombek; Elton T Young
Journal:  Mol Cell Biol       Date:  2015-12-14       Impact factor: 4.272

9.  Comprehensive structural and substrate specificity classification of the Saccharomyces cerevisiae methyltransferome.

Authors:  Tomasz Wlodarski; Jan Kutner; Joanna Towpik; Lukasz Knizewski; Leszek Rychlewski; Andrzej Kudlicki; Maga Rowicka; Andrzej Dziembowski; Krzysztof Ginalski
Journal:  PLoS One       Date:  2011-08-09       Impact factor: 3.240

10.  Dynamic hubs show competitive and static hubs non-competitive regulation of their interaction partners.

Authors:  Apurv Goel; Marc R Wilkins
Journal:  PLoS One       Date:  2012-10-31       Impact factor: 3.240
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