A comprehensive database of insect transcription factors
Cited from
10.3390/ijms19113691.
InsectTFDB is a comprehensive database dedicated to the collection, display, search, and annotation of insect transcription factor genes.
Currently, the database houses 1,796 insects across 69 transcription factor gene families, with a total of 1,570,627 gene data entries.
Our platform aims to provide researchers with easy access to essential genetic information, facilitating the study of insect
biology, gene regulation, and functional genomics. Whether you're exploring transcription factors for evolutionary insights or functional
analysis, InsectTFDB is here to support your research.
The Insect Module provides users with the ability to search for transcription factors based on insect species information. Whether you're focused on a particular insect group or exploring genes across various species, this module helps narrow down results and offers a deeper understanding of species-specific transcription factor profiles. It's an invaluable tool for researchers interested in the genetic makeup and regulation of diverse insect taxa.
The TF Family Module enables users to search for transcription factors by their gene family classification. This module organizes transcription factors into distinct families based on sequence similarities and functional characteristics, allowing users to explore evolutionary patterns, functional relationships, and regulatory mechanisms across different families of transcription factors in insects.
The BLAST Module offers sequence alignment and similarity search functionality, allowing users to compare their query sequences against the insectTFDB database. By finding homologous genes or transcription factors, this tool aids in identifying conserved sequences, potential gene functions, and evolutionary relationships, making it a powerful resource for sequence-based research.
The Prediction Module utilizes HMMER-based methods for transcription factor annotation. Researchers can submit sequences to predict the presence of transcription factors based on hidden Markov models (HMMs). This tool is particularly useful for annotating novel sequences or for functional annotation of insect genomes, providing reliable predictions for transcription factor identification and classification.
Have a different question and can’t find the answer you’re looking for? Reach out to our support team by meiyang12@zju.edu.cn or zhouhang716@zju.edu.cn, and we’ll get back to you as soon as we can.
Explore additional resources for transcription factor data across different organisms. This section provides links to other comprehensive databases that focus on the genetic regulation of various species, offering valuable insights for comparative genomics and functional studies. These related resources complement InsectTFDB and can expand your research into broader biological contexts.