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Adam J. Smolka

dblp:45/1964 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › proteomics
mass spectrometry data analysis
0.112007
PrepMS: TOF MS data graphical preprocessing tool · Bioinform. 2007
Bioinformatics and computational biology
proteomics
0.112007
PrepMS: TOF MS data graphical preprocessing tool · Bioinform. 2007
Bioinformatics and computational biology › proteomics › mass spectrometry data analysis
spectral preprocessing
0.112007
PrepMS: TOF MS data graphical preprocessing tool · Bioinform. 2007
Bioinformatics and computational biology › epigenomics › ChIP-seq analysis
peak detection
0.012007
PrepMS: TOF MS data graphical preprocessing tool · Bioinform. 2007

Methods — techniques the papers use, named apart from their topics

time-of-flight mass spectrometry · 0.1
YearPublicationVenuePosition
2007 PrepMS: TOF MS data graphical preprocessing tool
abstract
UNLABELLED: We introduce a simple-to-use graphical tool that enables researchers to easily prepare time-of-flight mass spectrometry data for analysis. For ease of use, the graphical executable provides default parameter settings, experimentally determined to work well in most situations. These values, if desired, can be changed by the user. PrepMS is a stand-alone application made freely available (open source), and is under the General Public License (GPL). Its graphical user interface, default parameter settings, and display plots allow PrepMS to be used effectively for data preprocessing, peak detection and visual data quality assessment. AVAILABILITY: Stand-alone executable files and Matlab toolbox are available for download at: http://sourceforge.net/projects/prepms
Yuliya V. Karpievitch, Elizabeth G. Hill, Adam J. Smolka, Jeffrey S. Morris, Kevin R. Coombes, Keith A. Baggerly, Jonas S. Almeida
Bioinform.3