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Statistical analysis of sequential motifs at biologically relevant

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Ali Rahjouei on LinkedIn: Matthias Mann's contributions to

Predicting the impact of sequence motifs on gene regulation using

Biological Sequence Analysis: Probabilistic Models of Proteins and

2D Topology of (A) PUUV, (B) SEOV, (C) DOBV, and (D) HTNV motifs

Motif- Sequence & Structure motifs-Bioinformatics analysis – Omics

Practical Strategies for Discovering Regulatory DNA Sequence

PDF) SCOP2 prototype: A new approach to protein structure mining

Regmex: a statistical tool for exploring motifs in ranked sequence

PDF) HIPPIE v2.0: Enhancing meaningfulness and reliability of

PDF) Characterization of Protein–Protein Interfaces

Predictive analyses of regulatory sequences with EUGENe

Predicting the impact of sequence motifs on gene regulation using

Atlas of Transcription Factor Binding Sites from ENCODE DNase

PDF) A benchmark testing ground for integrating homology modeling