T4EffPred statistics

info info

Citations per year


Popular tool citations

chevron_left T3S effector prediction chevron_right

Tool usage distribution map

Tool usage distribution map
info info

Associated diseases

Associated diseases
Want to access the full stats & trends on this tool?

T4EffPred specifications


Unique identifier OMICS_15127
Name T4EffPred
Interface Application programming interface
Restrictions to use None
Input data A sequences of proteins.
Input format FASTA
Programming languages MATLAB
Computer skills Advanced
Stability Stable
Source code URL http://bioinfo.tmmu.edu.cn/T4EffPred/T4EffPred%28code%29/T4EffPred_windows.zip
Maintained Yes

Publication for T4EffPred

T4EffPred citation


An optimal set of features for predicting type IV secretion system effector proteins for a subset of species based on a multi level feature selection approach

PLoS One
PMCID: 5942808
PMID: 29742157
DOI: 10.1371/journal.pone.0197041

[…] leaving them with their non-effector dataset. more details concerning their method can be found in []. we downloaded the non-effector dataset from their website (http://bioinfo.tmmu.edu.cn/t4effpred) and used the sequences related to our four genera of interest using 554, 95, 32, and 17 non-effector sequences for l. pneumophila, c. burnetii, brucella spp, and bartonella spp, […]

Want to access the full list of citations?
T4EffPred institution(s)
Department of Microbiology, College of Basic Medical Sciences, Third Military Medical University (TMMU), Chongqing, China; Department of Tuberculosis, Institute of Infectious TB Prevention, Third Hospital of PLA, Baoji, China
T4EffPred funding source(s)
This work was supported by National Natural Science Foundation of China (grant no. 31301097).

T4EffPred reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review T4EffPred