Pages that link to "Q48426372"
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The following pages link to MUSA: a parameter free algorithm for the identification of biologically significant motifs. (Q48426372):
Displaying 11 items.
- YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in Saccharomyces cerevisiae (Q24649971) (← links)
- A survey of DNA motif finding algorithms (Q24684808) (← links)
- Models incorporating chromatin modification data identify functionally important p53 binding sites (Q30618656) (← links)
- Yeast IME2 functions early in meiosis upstream of cell cycle-regulated SBF and MBF targets (Q34185673) (← links)
- Transcriptional profiling of Arabidopsis root hairs and pollen defines an apical cell growth signature. (Q34539081) (← links)
- 2D electrophoresis-based expression proteomics: a microbiologist's perspective. (Q37818322) (← links)
- Computational approaches, databases and tools for in silico motif discovery. (Q38077120) (← links)
- Functional gene expression profiling in yeast implicates translational dysfunction in mutant huntingtin toxicity. (Q41557401) (← links)
- Direct vs 2-stage approaches to structured motif finding (Q43171664) (← links)
- GAPWM: a genetic algorithm method for optimizing a position weight matrix (Q47298338) (← links)
- Review of Different Sequence Motif Finding Algorithms (Q64088804) (← links)