Cell line recognition specifications


Unique identifier OMICS_10174
Name Cell line recognition
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes


Add your version


  • person_outline Suwisa Kaewphan <>

Publication for Cell line recognition

Cell line recognition in publications

PMCID: 4321833
PMID: 25665096
DOI: 10.1371/journal.pone.0115582

[…] t helper epitopes in v2 epitope spanned the i181l sieve mutation described by rolland et al. and the other falls between the k169q and i181l sieve signatures []. mutation i181l did not alter cd4 t cell line recognition of the epitope, suggesting that sieving immunological pressure may have come from the v2 bab induced by the vaccine. we did not find a correlation between anti-v2 bab and v2 […]

PMCID: 3629873
PMID: 23599415
DOI: 10.1093/database/bat020

[…] corpus () with annotations for anatomical parts and cell lines, as well as relationships to the existing gene expression events. genes/proteins were extracted using gnat (), anatomical part and cell line recognition was performed by linnaeus () using 13 anatomical ontologies and one for cell lines. a list of expression triggers was manually built, and association between the entities […]

PMCID: 2571940
PMID: 18936238
DOI: 10.1084/jem.20081356

[…] of the m170.48 t cell clone, we sequenced the cdna isolated from recognized (m134 and m117) and nonrecognized cell lines (a498 and sw480), and showed that this polymorphism did not affect tumor cell line recognition. the meloe sequence analysis showed a perfect colinearity with the genomic dna, obtained by comparison with the sequence of the human genome released by celera (), […]

To access a full list of publications, you will need to upgrade to our premium service.

Cell line recognition institution(s)
Turku Centre for Computer Science (TUCS), Turku, Finland; Department of Information Technology, University of Turku, FI, Finland; University of Turku Graduate School (UTUGS), University of Turku, FI, Finland; Department of Plant Systems Biology, VIB, Gent, Belgium; Department of Plant Biotechnology and Bioinformatics, Ghent University, Gent, Belgium; Textimi, Tokyo, Japan
Cell line recognition funding source(s)
This work was supported by the Academy of Finland and the Research Foundation Flanders (FWO).

Cell line recognition reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review Cell line recognition