CMStalker: a combinatorial tool for composite motif discovery Supplementary materials
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منابع مشابه
CoMoDis: composite motif discovery in mammalian genomes
Specificity of mammalian gene regulatory regions is achieved to a large extent through the combinatorial binding of sets of transcription factors to distinct binding sites, discrete combinations of which are often referred to as regulatory modules. Identification and subsequent characterization of gene regulatory modules will be a key step in assembling transcriptional regulatory networks from ...
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Controlling the differential expression of many thousands genes at any given time is a fundamental task of metazoan organisms and this complex orchestration is controlled by the so-called regulatory genome encoding complex regulatory networks. Cis-Regulatory Modules are fundamental units of such networks. To detect Cis-Regulatory Modules “in-silico” a key step is the discovery of recurrent clus...
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Motif discovery in biological sequences is an important field in bioinformatics. Most of the scientific research focuses on the de novo discovery of single motifs, but biological activities are typically co-regulated by several factors and this feature is properly reflected by higher order structures, called composite motifs, or cis-regulatory modules or simply modules. A module is a set of mot...
متن کاملDiscovery of potent inhibitors of human β-tryptase from pre-equilibrated dynamic combinatorial libraries† †Electronic supplementary information (ESI) available: Details of the synthetic procedures and characterization data, as well as detailed preparation of DCLs, enzyme assay procedures, and description of the molecular modeling calculations. See DOI: 10.1039/c4sc02943g Click here for additional data file.
Pre-equilibrated dynamic combinatorial libraries based on acyl hydrazone interchange of peptide-derived hydrazides and diand tri-aldehydes have been used to discover potent inhibitors with nanomolar affinities for b-tryptase. To identify potent inhibitors the activity of the full library containing 95 members was compared with those of sub-libraries in which individual building blocks were miss...
متن کاملIndeCut evaluates performance of network motif discovery algorithms.
Motivation Genomic networks represent a complex map of molecular interactions which are descriptive of the biological processes occurring in living cells. Identifying the small over-represented circuitry patterns in these networks helps generate hypotheses about the functional basis of such complex processes. Network motif discovery is a systematic way of achieving this goal. However, a reliabl...
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تاریخ انتشار 2014