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Paper Details

A comprehensive collection of systems biology data characterizing the host response to viral infection.
Sci Data
36
2014
H5N1 influenza A viruses, Human, Infectious Diseases, RNA, SARS-CoV, avian, severe acute respiratory syndrome coronavirus
Animals, Data Collection, Databases, Factual, Host-Pathogen Interactions, Humans, Influenza A virus, Influenza, Human, Mice, Orthomyxoviridae Infections, Systems Biology
Author NameAffiliation
Brian D AevermannJ. Craig Venter Institute
Brian D AevermannJ. Craig Venter Institute
Brett E PickettJ. Craig Venter Institute
Sanjeev Kumar
Edward B Klem
Sudhakar AgnihothramUniversity of North Carolina at Chapel Hill
Peter S AskovichSeattle Biomedical Research Institute
Armand BankheadOregon Clinical & Translational Research Institute , Department of Medical Informatics and Clinical Epidemiology, Oregon Health Sciences University
Meagan E DemingUniversity of North Carolina at Chapel Hill
Victoria S CarterUniversity of Washington
Jean ChangUniversity of Washington
Therese R W ClaussPacific Northwest National Laboratory
Therese R W ClaussPacific Northwest National Laboratory
Pradyot DashSt. Jude Children's Research Hospital
Alan H DiercksSeattle Biomedical Research Institute
Amie J EisfeldInfluenza Research Institute, University of Wisconsin-Madison
Amy L Ellis-ConnellInfluenza Research Institute, University of Wisconsin-Madison
Shufang FanInfluenza Research Institute, University of Wisconsin-Madison
Martin T FerrisUniversity of North Carolina at Chapel Hill
Martin T FerrisUniversity of North Carolina at Chapel Hill
Lisa E GralinskiUniversity of North Carolina at Chapel Hill
Lisa E GralinskiUniversity of North Carolina at Chapel Hill
Richard GreenUniversity of Washington
Marina A GritsenkoPacific Northwest National Laboratory
Marina A GritsenkoPacific Northwest National Laboratory
Masato HattaInfluenza Research Institute, University of Wisconsin-Madison
Robert A HeegelPacific Northwest National Laboratory
Jon M JacobsPacific Northwest National Laboratory
Jon M JacobsPacific Northwest National Laboratory
Sophia JengOregon Clinical & Translational Research Institute
Laurence JossetUniversity of Washington
Shari M KaiserSeattle Biomedical Research Institute
Sara M KellyUniversity of Washington
Sara M KellyUniversity of Washington
G Lynn LawUniversity of Washington
Chengjun LiHarbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences
Jiangning LiSeattle Biomedical Research Institute
Casey LongUniversity of North Carolina at Chapel Hill
Maria L LunaPacific Northwest National Laboratory
Melissa M MatzkePacific Northwest National Laboratory
Jason E McDermottPacific Northwest National Laboratory
Jason E McDermottPacific Northwest National Laboratory
Vineet D MenacheryUniversity of North Carolina at Chapel Hill
Thomas O MetzPacific Northwest National Laboratory
Hugh D MitchellPacific Northwest National Laboratory
Matthew E MonroePacific Northwest National Laboratory
Matthew E MonroePacific Northwest National Laboratory
Garnet NavarroSeattle Biomedical Research Institute
Gabriele NeumannInfluenza Research Institute, University of Wisconsin-Madison
Rebecca L PodyminoginSeattle Biomedical Research Institute
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Datasets

Influenza Research DatabaseInfluenza Research DatabaseLink
Influenza Research DatabaseInfluenza Research DatabaseLink
Influenza Research DatabaseInfluenza Research DatabaseLink
Influenza Research DatabaseInfluenza Research DatabaseLink
Influenza Research DatabaseInfluenza Research DatabaseLink
Influenza Research DatabaseInfluenza Research DatabaseLink
Influenza Research DatabaseInfluenza Research DatabaseLink
Influenza Research DatabaseInfluenza Research DatabaseLink
Influenza Research DatabaseInfluenza Research DatabaseLink
Influenza Research DatabaseInfluenza Research DatabaseLink
PeptideAtlasPeptides identified in LC-MS/MS proteomics experimentsLink
PeptideAtlasPeptideAtlas is a multi-organism, publicly accessible compendium of peptides identified in a large set of tandem mass spectrometry proteomics experiments. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and searched using the latest search engines and protein sequences. All results of sequence and spectral library searching are subsequently processed through the Trans Proteomic Pipeline to derive a probability of correct identification for all results in a uniform manner to insure a high-quality database, along with false discovery rates at the whole atlas level. Results may be queried and browsed at the PeptideAtlas web site. The raw data, search results, and full builds can also be downloaded for other uses.Link
PeptideAtlasPeptides identified in LC-MS/MS proteomics experimentsLink
PeptideAtlasPeptideAtlas is a multi-organism, publicly accessible compendium of peptides identified in a large set of tandem mass spectrometry proteomics experiments. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and searched using the latest search engines and protein sequences. All results of sequence and spectral library searching are subsequently processed through the Trans Proteomic Pipeline to derive a probability of correct identification for all results in a uniform manner to insure a high-quality database, along with false discovery rates at the whole atlas level. Results may be queried and browsed at the PeptideAtlas web site. The raw data, search results, and full builds can also be downloaded for other uses.Link
PeptideAtlasPeptides identified in LC-MS/MS proteomics experimentsLink