pkDACLASS statistics

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Citations per year

Number of citations per year for the bioinformatics software tool pkDACLASS
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Tool usage distribution map

This map represents all the scientific publications referring to pkDACLASS per scientific context
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Associated diseases

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pkDACLASS specifications

Information


Unique identifier OMICS_15798
Name pkDACLASS
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages R
Computer skills Advanced
Version 1.0
Stability Stable
Source code URL https://cran.r-project.org/src/contrib/Archive/pkDACLASS/pkDACLASS_1.0.tar.gz
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Susmita Datta

Publication for pkDACLASS

pkDACLASS citations

 (2)
library_books

Challenges and opportunities of bovine milk analysis by mass spectrometry

2016
PMCID: 4836106
PMID: 27095950
DOI: 10.1186/s12014-016-9110-4

[…] oorganism due to absence of the organism in the database and not due to methodological error. However, to overcome these limitations, a number of open-source softwares and databases such as mMASS [], pkDACLASS [], MALDIquant [], SpectraBank [] and BIOSPEAN [] are freely available.For human studies, MALDI-TOF based identification of clinical isolates has been extensively used but limited exploratio […]

library_books

MALDI TOF mass spectrometry: an emerging technology for microbial identification and diagnosis

2015
Front Microbiol
PMCID: 4525378
PMID: 26300860
DOI: 10.3389/fmicb.2015.00791

[…] h costs. Nevertheless, a few research groups have developed some open-source softwares and databases which are freely available for the scientific community. To name a few, these are, mMASS, Mass-Up, pkDACLASS, MALDIquant, SpectraBank, BIOSPEAN, etc. (; ; ; ; ). […]


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pkDACLASS institution(s)
Department of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville, Louisville, KY, USA; FDA/CDRH, Silver Spring, MD, USA
pkDACLASS funding source(s)
This work is funded by grants NIH-CA133844, NSFDMS-0805559 and the center grant 1P30ES014443.

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