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Another application is to retrieve all TFs that regulate a given (set of) gene(s). In the context of systems-biological studies, the TF-target gene relations documented in TRANSFAC were used to construct and analyze transcription regulatory networks. [14] [15] By far the most frequent use of TRANSFAC is the computational prediction of potential ...
a Wiki-based database for transcription factor-binding data generated by the ENCODE consortium. database: website [8] hmChIP a database and web server for exploring publicly available human and mouse ChIP-seq and ChIP-chip data. database: website [9] HOCOMOCO: a comprehensive collection of human and mouse transcription factor binding sites ...
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 ...
Other transcription factors differentially regulate the expression of various genes by binding to enhancer regions of DNA adjacent to regulated genes. These transcription factors are critical to making sure that genes are expressed in the right cell at the right time and in the right amount, depending on the changing requirements of the organism.
A combination of tools is employed: PALMapper (reads alignment), mTiM and mGene (inference of new transcripts). Salmon is a software tool for computing transcript abundance from RNA-seq data using either an alignment-free (based directly on the raw reads) or an alignment-based (based on pre-computed alignments) approach. It uses an online ...
Transcription factor naming issues were addressed through discussion of integration of transcription factor prediction pipelines, such as DBD or flyTF, which have been supplemented with manual curation versus solely manual curated implementations like TFcat.
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