iRSpot-TNCPseAAC statistics

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Citations per year

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Popular tool citations

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Tool usage distribution map

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Associated diseases

Associated diseases

iRSpot-TNCPseAAC specifications

Information


Unique identifier OMICS_18389
Name iRSpot-TNCPseAAC
Interface Web user interface
Restrictions to use None
Input data A sequence of query DNA.
Input format FASTA
Computer skills Basic
Stability Stable
Maintained Yes

Maintainers


  • person_outline Kuo-Chen Chou <>
  • person_outline Xuan Xiao <>
  • person_outline Wang-Ren Qiu <>

Publication for iRSpot-TNCPseAAC

iRSpot-TNCPseAAC in publication

PMCID: 4289199
PMID: 25409550
DOI: 10.1186/1471-2105-15-340

[…] methods [, , ] listed in tableĀ  (from 0.37% to 3.79%). in term of specificity and mcc, our method was also higher than those by other methods. moreover, we noticed that two other top predictors, irspot-tncpseaac and irspot-psednc, also used combined features based on pseudo nucleic acid composition and svm algorithm, suggesting that the merged features and svm algorithm were powerful […]


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iRSpot-TNCPseAAC institution(s)
Computer Department, Jing-De-Zhen Ceramic Institute, Jingdezhen, China; Information School, ZheJiang Textile & Fashion College, Ningbo, China; Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah, Saudi Arabia; Gordon Life Science Institute, Belmont, MA, USA
iRSpot-TNCPseAAC funding source(s)
Partially supported by the National Nature Science Foundation of China (Nos. 31260273, 61261027), the Jiangxi Provincial Foreign Scientific and Technological Cooperation Project (No.20120BDH80023), Natural Science Foundation of Jiangxi Province, China (Nos.20114BAB211013, 20122BAB211033, 20122BAB201044, 20122BAB2010), the Department of Education of JiangXi Province (GJJ12490), the LuoDi plan of the Department of Education of JiangXi Province(KJLD12083), and the JiangXi Provincial Foundation for Leaders of Disciplines in Science (20113BCB22008).

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