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transcription factor regulation inferred from integrating genome-wide ChIP-X experiments. database: website [4] CIS-BP collection of transcription factor binding sites models inferred by binding domains. database: website [5] CistromeMap a knowledgebase and web server for ChIP-Seq and DNase-Seq studies in mouse and human. database: website [6 ...
[14] [15] By far the most frequent use of TRANSFAC is the computational prediction of potential TFBS. A number of algorithms exist which either use the individual binding sites or the matrix library for this purpose: Patch – analyzes sequence similarities with the binding sites documented in TRANSFAC; it is provided along with the database ...
Transcription activator-like (TAL) Effector-Nucleotide Targeter 2.0 (TALE-NT) is a suite of web-based tools that allows for custom design of TAL effector repeat arrays for desired targets and prediction of TAL effector binding sites. (bio.tools entry) [103] https://boglab.plp.iastate.edu/ 2012 TarFisDock
Neural network promoter prediction: Prokaryotes, Eukaryotes [38] NNSPLICE: Neural network splice site prediction: Drosophila, Human [39] ORFfinder: Graphical analysis tool to find all open reading frames: Prokaryotes, Eukaryotes [40] Regulatory Sequence Analysis Tools: Series of modular computer programs to detect regulatory signals in non ...
The number of notable protein-ligand docking programs currently available is high and has been steadily increasing over the last decades. The following list presents an overview of the most common notable programs, listed alphabetically, with indication of the corresponding year of publication, involved organisation or institution, short description, availability of a webservice and the license.
The second web-site link (interactive/custom sequences) first finds putative microRNA binding sites in the sequence of interest, then identifies the targeted microRNA. Both tools are provided by the Computational Medicine Center at Thomas Jefferson University. Yes: No: No: precomputed predictions interactive/custom sequences [123] RNAhybrid
Structure- and sequence-based prediction of DNA-binding sites in DNA-binding proteins can be performed on several web servers listed below. DISIS predicts DNA binding sites directly from the amino acid sequence and hence is applicable for all known proteins. It is based on the chemical-physical properties of the residue and its environment ...
An email is sent to the user together with a link to a web page of results. RaptorX Server currently generates the following results: 3-state and 8-state secondary structure prediction, sequence-template alignment, 3D structure prediction, solvent accessibility prediction, disorder prediction and binding site prediction.
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