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Motif Prediction Summer Internships

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Showing 13–24 of 50 categories
Motif-Disease Association Mining Research
Analyze disease-associated genetic variants to identify disrupted motifs and predict functional consequences on gene regulation.
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Tissue-Specific Motif Activity Prediction
Build predictive models to determine which transcription factor motifs are actively engaged in different tissue types using multi-omics data.
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Post-Translational Modification Motif Detection
Develop algorithms to predict phosphorylation, ubiquitination, and glycosylation sites by identifying conserved sequence motifs.
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Motif Clustering and Redundancy Analysis
Implement computational methods to group similar motifs and identify functionally redundant transcription factor binding sites.
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Single-Cell Motif Activity Inference
Develop approaches to infer transcription factor motif activity at single-cell resolution using scRNA-seq and scATAC-seq data.
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Structural RNA Secondary Structure Motifs
Predict conserved structural motifs in non-coding RNAs that determine their secondary and tertiary folding patterns.
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Microbial Promoter Motif Prediction Pipeline
Develop high-throughput pipelines to identify and characterize promoter motifs across diverse bacterial and archaeal genomes.
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Viral Immune Escape Motif Discovery
Identify and predict sequence motifs in viral genomes that enable immune evasion and antigenic variation.
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Alternative Splicing Regulatory Motif Analysis
Predict RNA-binding protein motifs that regulate alternative splicing patterns across different cell conditions.
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Long-Range Chromatin Interaction Motifs
Identify DNA sequence motifs that mediate long-range 3D chromatin interactions and topologically associated domains.
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Motif-Based Gene Regulatory Network Inference
Reconstruct gene regulatory networks by integrating transcription factor motif predictions with expression data.
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Drug-Binding Protein Motif Prediction
Predict conserved sequence motifs that determine drug-binding pockets and pharmacological properties in target proteins.
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