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Joshua N. Adkins
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2020 – today
- 2021
- [j15]Ahmed A. Zayed
, Dominik Lücking
efam: an expanded, metaproteome-supported HMM profile database of viral protein families. Bioinform. 37(22): 4202-4208 (2021)
2010 – 2019
- 2019
- [j14]Ryan S. McClure, Jason P. Wendler
Unified feature association networks through integration of transcriptomic and proteomic data. PLoS Comput. Biol. 15(9) (2019) - 2013
- [j13]Brian J. Schmidt
GIM3E: condition-specific models of cellular metabolism developed from metabolomics and expression data. Bioinform. 29(22): 2900-2908 (2013) - 2011
- [j12]Ines Thiele
A community effort towards a knowledge-base and mathematical model of the human pathogen Salmonella Typhimurium LT2. BMC Syst. Biol. 5: 8 (2011) - [j11]Hyunjin Yoon, Charles Ansong, Jason E. McDermott
Systems analysis of multiple regulator perturbations allows discovery of virulence factors in Salmonella. BMC Syst. Biol. 5: 100 (2011) - [j10]Pep Charusanti
An experimentally-supported genome-scale metabolic network reconstruction for Yersinia pestis CO92. BMC Syst. Biol. 5: 163 (2011) - 2010
- [j9]Anuj R. Shah, Joshua N. Adkins
Applications in Data-Intensive Computing. Adv. Comput. 79: 1-70 (2010) - [c5]Mudita Singhal, Anuj R. Shah, Joshua N. Adkins
Using support vector machine for improving protein-protein interaction prediction utilizing domain interactions. BCB 2010: 537-545
2000 – 2009
- 2009
- [j8]Yuliya V. Karpievitch, Jeff Stanley, Thomas Taverner, Jianhua Huang, Joshua N. Adkins, Charles Ansong, Fred Heffron, Thomas O. Metz
A statistical framework for protein quantitation in bottom-up MS-based proteomics. Bioinform. 25(16): 2028-2034 (2009) - [j7]Yuliya V. Karpievitch, Thomas Taverner, Joshua N. Adkins, Stephen J. Callister, Gordon A. Anderson, Richard D. Smith
Normalization of peak intensities in bottom-up MS-based proteomics using singular value decomposition. Bioinform. 25(19): 2573-2580 (2009) - [j6]Navdeep Jaitly, Anoop M. Mayampurath, Kyle Littlefield, Joshua N. Adkins
Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data. BMC Bioinform. 10 (2009) - [c4]Anuj R. Shah, Navdeep Jaitly, Nino Zuljevic, Matthew E. Monroe, Andrei Liyu, Ashoka D. Polpitiya, Joshua N. Adkins
An Architecture for Real Time Data Acquisition and Online Signal Processing for High Throughput Tandem Mass Spectrometry. eScience 2009: 88-93 - 2008
- [j5]Anoop M. Mayampurath, Navdeep Jaitly, Samuel O. Purvine
DeconMSn: a software tool for accurate parent ion monoisotopic mass determination for tandem mass spectra. Bioinform. 24(7): 1021-1023 (2008) - [j4]Ashoka D. Polpitiya, Wei-Jun Qian
DAnTE: a statistical tool for quantitative analysis of -omics data. Bioinform. 24(13): 1556-1558 (2008) - [j3]Matthew E. Monroe, Jason L. Shaw, Don Simone Daly, Joshua N. Adkins
MASIC: A software program for fast quantitation and flexible visualization of chromatographic profiles from detected LC-MS(/MS) features. Comput. Biol. Chem. 32(3): 215-217 (2008) - 2007
- [j2]Bobbie-Jo M. Webb-Robertson
PQuad - a visual analysis platform for proteomic data exploration of microbial organisms. Bioinform. 23(13): 1705-1707 (2007) - [j1]Matthew E. Monroe, Nikola Tolic, Navdeep Jaitly, Jason L. Shaw, Joshua N. Adkins, Richard D. Smith
VIPER: an advanced software package to support high-throughput LC-MS peptide identification. Bioinform. 23(15): 2021-2023 (2007) - 2006
- [c3]Bobbie-Jo M. Webb-Robertson, William R. Cannon, Joshua N. Adkins, Deborah K. Gracio:
Session Introduction. Pacific Symposium on Biocomputing 2006: 212-218 - [c2]Christopher S. Oehmen, Lee Ann McCue
Analytics challenge - High-throughput visual analytics biological sciences: turning data into knowledge. SC 2006: 299 - 2004
- [c1]Joel C. Hunter, Joshua N. Adkins, Joel G. Pounds, John H. Miller:
Facilitating interpretation of mass spectrometry based proteomics data. METMBS 2004: 471-477
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