Grit online (v1.0.1)

Predict transcription factor binding sites using mixed Student's t-test statistics.

Downloads Project Source Contribute

1. Select a Genome

Choose a Genome using the select boxes in the right, the default shown first 15 genomes, typing a word of the scientific name of the genome in the search box to filter results.

Genome: Homo sapiens, GRCh38.p13

GCode: hsapiens

Select a Genome

2. Search Targets

Choose TFs or Target Gene use the select boxes in the right, the default shown first 50 entities, typing a word of the name of the entities in the search box to filter results.


Select From the List
Search

3. Results

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4. Compare

Choose Genomes use the select boxes in the right, the default shown first 50 entities, typing a word of the name of the entities in the search box to filter results.

Select Genome to Compare
Compare

5. Cerebral

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Publications

  • Grit paper

    Tinghua Huang, Hong Xiao, Qi Tian, Zhen He, Min Yao. Identification of upstream transcription factor binding sites in orthologous genes using mixed Student's t-test statistics. PloS Computational Biology, 2022.

  • Flaver paper

    Tinghua Huang, Xinmiao Huang, Binyu Wang, Hao He, Min Yao, and Xuejun Gao. Flaver: mining transcription factors in genome-wide transcriptome profiling data using weighted rank correlation statistics. 2022

FAQs

  • Some of the species are not available?

    The species in the list marked as "comming soon..." will be updated when the analysis is finished.

  • Something doesn't work. Can you fix it?

    Yes! Please report all issues to the maintainer: Dr. Tinghua Huang and Dr. Min Yao.

  • What browsers are supported?

    All modern desktop browsers are supported (Firefox, Chrome, Safari and IE9). Legacy support for IE8 is also enabled.

Maintainer

  • Dr. Tinghua Huang, Yangtze University, Email: thua45@yangtzeu.edu.cn
  • Dr. Min Yao, Yangtze University, Email: minyao@yangtzeu.edu.cn