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The Plant Promoter Analysis Navigator (PlantPAN) provides an informative resource for detecting transcription factor binding sites (TFBSs), corresponding TFs, and other important regulatory elements (CpG islands and tandem repeats) in a promoter or a set of promoters in plants. PlantPAN 4.0 provides non-redundant 3428 matrices for plant TFs in TFBS prediction and promoter sequences for 115 ...
- PlantPAN 4.0 - NCKU
1. Identification of cis- and trans-elements of input gene....
- PlantPAN 3.0 - NCKU
The current PlantPAN release (version 3.0) contains 17,230...
- PlantPAN 4.0 - NCKU
PlantPAN 3.0 is a web tool for detecting transcription factor binding sites, regulatory elements, and gene networks in plant promoters. It provides TF/TFBS information, ChIP-seq data, and external sources for 78 plant species.
PlantPAN 4.0 is a web-based tool for plant gene analysis, such as TF/TFBS search, gene group analysis, promoter analysis, and cross species analysis. It can help users identify cis- and trans-elements, construct gene regulatory networks, and visualize experimental data.
5 lis 2018 · PlantPAN3.0 is a resource for predicting regulatory elements and reconstructing transcriptional regulatory networks from ChIP-seq experiments in plants. It provides genomic binding events, experimental matrices, 3D structures, and co-expression networks of regulatory factors and their target genes across seven plant species.
28 paź 2023 · PlantPAN 4.0 is an integrative resource for constructing transcriptional regulatory networks for diverse plant species. It can identify conserved non-coding sequences, explore cis-regulatory elements, and analyze ChIP-seq data across plant genomes.
5 lis 2018 · The Plant Promoter Analysis Navigator (PlantPAN; http://PlantPAN.itps.ncku.edu.tw/) is an effective resource for predicting regulatory elements and reconstructing transcriptional...
PlantPAN 4.0 is a database and tool for plant promoter analysis and prediction. It allows users to input promoter sequences in FASTA format and scan them with various matrices and models to identify cis-regulatory elements and transcription factor binding sites.
