iTAK: A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases.

By Yi Zheng, C. Jiao, Honghe Sun, H. Rosli, M. A. Pombo, Peifen Zhang, M. Banf, Xinbin Dai, G. Martin, James J. Giovannoni and 3 more. Molecular Plant, 2016

957 citations recorded by the source corpus.

Subfields: Molecular Biology, Plant Science

View Paper: https://www.semanticscholar.org/paper/479a7e68cf36b39649cf61026720770fe9c762c7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Björn Usadel
2. G. Ponce-Soto
3. K. Krause
4. Mark Stitt
5. Kristina Gruden
6. Anthony M. Bolger
7. Asis Hallab
8. Marie E. Bolger

In Plant Science

1. Mark Stitt
2. Björn Usadel
3. Anthony M. Bolger

Citations in the corpus

• MapMan4: A Refined Protein Classification and Annotation Framework Applicable to Multi-Omics Data Analysis. (2019, methodology): “8) against the iTAK (Zheng et al., 2016) transcription factor classification for A. thaliana revealed 1688 common transcription factor genes, 256 genes in MapMan4 but not in iTAK, and 79 genes in iTAK but not in MapMan4, indicating substantial agreement between the annotations.”