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PTIGS-IdIt specifications


Unique identifier OMICS_34160
Interface Web user interface
Restrictions to use None
Programming languages C, Perl
Computer skills Basic
Stability No
Maintained No

Publication for PTIGS-IdIt

PTIGS-IdIt citations


MISSEL: a method to identify a large number of small species specific genomic subsequences and its application to viruses classification

BioData Min
PMCID: 5139023
PMID: 27980679
DOI: 10.1186/s13040-016-0116-2

[…] [], TaxonDNA [] that assign sequence queries to categories based on how many nucleotide characters they share. The third group of methods comprises tools like DNA-BAR [], BLOG [], CAOS [], BRONX [], PTIGS-IdIt [], Linker [], and Alignment-free analytics [, ]. Methods in the latter group are based on the identification of specific and limited nucleotides positions of the DNA sequences that can be […]


Supervised DNA Barcodes species classification: analysis, comparisons and results

BioData Min
PMCID: 4022351
PMID: 24721333
DOI: 10.1186/1756-0381-7-4

[…] LAST [], NN [], and TaxonDNA []) assign query Barcodes to species based on how much DNA Barcode characters they have in common. Character-based methods (e.g., DNA-BAR [], BLOG [], CAOS [], BRONX [,], PTIGS-IdIt [], Linker [], Alignment-free analytics []) rely on the presence/absence of particular characters in DNA Barcode sequences for identification, instead of using them all [].The DNA Barcode c […]


Towards big data science in the decade ahead from ten years of InCoB and the 1st ISCB Asia Joint Conference

BMC Bioinformatics
PMCID: 3278825
PMID: 22372736
DOI: 10.1186/1471-2105-12-S13-S1

[…] . [] have a novel graph theoretical method to identify highly stable base triplets in RNA structures, while Benso et al. [] have proposed simple decision rules in R, to classify gene expression data. PTIGS-IdIt [] provides a novel approach for plant species identification using DNA barcoding technology, with HabiSign [] for habitat-specific metagenome analysis. A webserver for predicting dinucleot […]


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PTIGS-IdIt institution(s)
The Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine, Ministry of Education, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China ; School of Computer Science & Engineering, Beihang University, Beijing, China ; College of Life Sciences, Qingdao Agricultural University, Qingdao, China ; Center for BioInformatics, University of North Carolina, Chapel Hill, NC, USA ; Pidit Ltd, Edison, NJ, USA
PTIGS-IdIt funding source(s)
Supported by the “Xiehe Scholar” start-up fund from the Chinese Academy of Medical Science and Scientific Research Foundation of the Ministry of Education for the Returned Overseas Chinese Scholars

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