Provides a web-based resource for finding genes that show a similar expression pattern to a group of user-selected genes. It is based on a large-scale gene expression compendium (>1200 experiments, >13,000 genes). The primary application of Targetfinder.org is to expand a list of known transcription factor targets by new candidate target genes.
A program to identify plant transcription factors (TFs), transcriptional regulators (TRs) and protein kinases (PKs) from protein or nucleotide sequences and then classify individual TFs, TRs and PKs into different gene families. iTAK currently provides both online and standalone versions.
Enables users to identify and annotate transcription factors (TFs) and two-component system (TCS) proteins within their sequences of interest. Users can input amino acid or genomic DNA sequences, and predicted proteins therein are scanned for the possession of DNA-binding domains and/or TCS domains. RPs identified in this manner are categorised into families, unambiguously annotated, and a detailed description of their features generated, using an integrated software pipeline. P2RP results can then be outputted in user-specified formats.
Identifies transcription factors (TFs), predicts their structural superclass, and detects their DNA-binding domains given a protein sequence of interest. TFpredict is implemented in a Java application which was designed as an upstream tool for SABINE, and provides all structural characteristics required by the SABINE algorithm for the prediction of TF binding specificities. It provides complementary and accurate methods for the identification, structural annotation and DNA motif prediction of TFs.
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