DAnTE: a statistical tool for quantitative analysis of -omics data. - Test2 - elhamkhani - TriplyDB

DAnTE: a statistical tool for quantitative analysis of -omics data.

DAnTE: a statistical tool for quantitative analysis of -omics data.

http://www.wikidata.org/entity/Q31154320

about

Distinct cerebrospinal fluid proteomes differentiate post-treatment lyme disease from chronic fatigue syndrome Comparative proteomics and pulmonary toxicity of instilled single-walled carbon nanotubes, crocidolite asbestos, and ultrafine carbon black in mice Systems virology identifies a mitochondrial fatty acid oxidation enzyme, dodecenoyl coenzyme A delta isomerase, required for hepatitis C virus replication and likely pathogenesis Multicopy Single-Stranded DNA Directs Intestinal Colonization of Enteric Pathogens A Multi-Omic View of Host-Pathogen-Commensal Interplay in Salmonella-Mediated Intestinal Infection Subcompartmentalization by cross-membranes during early growth of Streptomyces hyphae.Proteomic and physiological responses of Kineococcus radiotolerans to copper Genome-scale modeling of light-driven reductant partitioning and carbon fluxes in diazotrophic unicellular cyanobacterium Cyanothece sp. ATCC 51142 Activity-based protein profiling reveals mitochondrial oxidative enzyme impairment and restoration in diet-induced obese mice Gray matter is targeted in first-attack multiple sclerosis Proteogenomic analysis of a thermophilic bacterial consortium adapted to deconstruct switchgrass Mycobacterium tuberculosis Ser/Thr protein kinase B mediates an oxygen-dependent replication switch Comprehensive Metabolomic, Lipidomic and Microscopic Profiling of Yarrowia lipolytica during Lipid Accumulation Identifies Targets for Increased Lipogenesis Investigation of Yersinia pestis Laboratory Adaptation through a Combined Genomics and Proteomics Approach Identifying Aspects of the Post-Transcriptional Program Governing the Proteome of the Green Alga Micromonas pusilla Proteome analyses of strains ATCC 51142 and PCC 7822 of the diazotrophic cyanobacterium Cyanothece sp. under culture conditions resulting in enhanced H₂ production Hepatic Cytochrome P450 Activity, Abundance, and Expression Throughout Human Development Effects of delayed NSAID administration after experimental eccentric contraction injury – A cellular and proteomics study Proteomic profiling of the effect of metabolic acidosis on the apical membrane of the proximal convoluted tubule.A comprehensive collection of systems biology data characterizing the host response to viral infection.Top-down proteomics reveals a unique protein S-thiolation switch in Salmonella Typhimurium in response to infection-like conditions.Increased power for the analysis of label-free LC-MS/MS proteomics data by combining spectral counts and peptide peak attributes.Evaluation of a genome-scale in silico metabolic model for Geobacter metallireducens by using proteomic data from a field biostimulation experiment.Dynamics of Hippocampal Protein Expression During Long-term Spatial Memory Formation Systematic assessment of survey scan and MS2-based abundance strategies for label-free quantitative proteomics using high-resolution MS data.High-Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections.Gene pleiotropy constrains gene expression changes in fish adapted to different thermal conditions.Overview of software options for processing, analysis and interpretation of mass spectrometric proteomic data.Viewing the proteome: how to visualize proteomics data?mapDIA: Preprocessing and statistical analysis of quantitative proteomics data from data independent acquisition mass spectrometry A network integration approach to predict conserved regulators related to pathogenicity of influenza and SARS-CoV respiratory viruses.Global systems-level analysis of Hfq and SmpB deletion mutants in Salmonella: implications for virulence and global protein translation Proceedings of the 2009 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) conference. Introduction.Dealing with missing values in large-scale studies: microarray data imputation and beyond.Establishing the proteome of normal human cerebrospinal fluid Altered nucleocytoplasmic proteome and transcriptome distributions in an in vitro model of amyotrophic lateral sclerosis Novel Ser/Thr protein phosphatase 5 (PP5) regulated targets during DNA damage identified by proteomics analysis.Omic data from evolved E. coli are consistent with computed optimal growth from genome-scale models Activity-based protein profiling of secreted cellulolytic enzyme activity dynamics in Trichoderma reesei QM6a, NG14, and RUT-C30.Integrative transcriptomic and proteomic analysis of osteocytic cells exposed to fluid flow reveals novel mechano-sensitive signaling pathways.

P2860

Q21135535-EDEB32F6-F760-45BE-B1E0-49C956024CB0 Q23915619-E7F79791-1057-483B-AF3B-204C533FF89F Q24631218-3159AE10-2519-437C-91F1-94376405E132 Q27310376-7DFFEA3F-8656-48DE-A309-00C4A195BBA5 Q27312421-B65F8C58-C4F5-4D81-8438-FFAB7C29D4A8 Q27333132-F5ADF880-DF8B-4F1E-B081-16D8371C3E3E Q28475313-CE705095-C8E9-4CF6-8F7E-49961976D768 Q28482400-464944DD-A14E-4546-9925-777A8958C095 Q28484573-7E361314-C210-4A1F-8ED1-4FAC7756FE9B Q28533180-D1964EDC-F43D-4BC1-8191-EDC5B4774199 Q28534743-9DB4080D-935E-4402-BAE9-B0456B4C6E88 Q28538356-836BE65F-B79B-47B0-9365-FCC6F69C1E86 Q28546665-08846903-A605-444B-97A7-E43AA66B9565 Q28551130-46FAE8F5-69D7-483A-846F-63C70B3768A7 Q28552694-B8C7B6CE-8219-4AFC-BFF9-1917A576F710 Q28709048-93F38E42-0F22-45BF-B939-9D0DC445D457 Q28831360-8BD79288-A7C1-4F5E-A7D6-E5C81A77783B Q29248906-B40F81D6-A972-4D64-ACA5-448772A5159B Q29347012-ACF82CD0-7426-44F2-B6DC-94B8B14DB8C9 Q30374709-FBB2307C-DD07-494E-AF51-DCDC209E0033 Q30431216-751EB8E1-C306-4A07-8595-604E34CB5F46 Q30500483-71EBAFFA-B739-4FE1-BC1A-12BAEEEA564C Q30572301-C8BC9191-D1BD-4C9B-9D4C-0A9B1DBD3524 Q30706228-5A7DA936-F465-4E5B-BB04-F0C77BF9367A Q30779337-869F122D-2A62-4681-879B-B5D415CDA0E7 Q30788074-11C06FA0-3BB2-42DA-B2AB-3A0833820272 Q30828640-0BE87D14-96D5-4A74-8DE5-CBB2C4ADF03F Q30859106-972462F4-224B-4940-A092-1EDE9122CB0F Q30878062-968CDBA1-54C7-44BD-B7E6-1BA12DBFEED5 Q30994135-C474D336-880E-4311-88AA-C3122BF117E3 Q31126174-1BB79FBB-8A6F-4965-82F3-28E4B0ED47DA Q33416805-07E7A664-4052-4BF3-8477-D96EF7B4B127 Q33509194-3FFFABEB-DEEE-47BF-9DD3-8E1A0A9B5ECF Q33517423-C4F1F6CD-C603-4DA4-A2F3-DAEFAEA12318 Q33605677-08C3EE71-8ED7-4099-8579-3344D2E6868B Q33615051-2E071FE6-F51B-458A-A09F-B36E8273DB04 Q33639959-A1139AB0-53C0-4B50-874D-732AE764B672 Q33642720-860CF31A-127C-4558-AD50-E052731A5861 Q33653514-3D72EA4C-3B73-4AD5-840A-2F7370C3F2FE Q33683096-55FA5E5C-EAD2-47C7-AE37-7776E20B2CB0

P2860

DAnTE: a statistical tool for quantitative analysis of -omics data.

http://www.wikidata.org/entity/Q31154320

description

2008 nî lūn-bûn

@nan

2008 թուականի Մայիսին հրատարակուած գիտական յօդուած

@hyw

2008 թվականի մայիսին հրատարակված գիտական հոդված

@hy

2008年の論文

@ja

2008年論文

@yue

2008年論文

@zh-hant

2008年論文

@zh-hk

2008年論文

@zh-mo

2008年論文

@zh-tw

2008年论文

@wuu

name

DAnTE: a statistical tool for quantitative analysis of -omics data.

@ast

DAnTE: a statistical tool for quantitative analysis of -omics data.

@en

type

label

DAnTE: a statistical tool for quantitative analysis of -omics data.

@ast

DAnTE: a statistical tool for quantitative analysis of -omics data.

@en

prefLabel

DAnTE: a statistical tool for quantitative analysis of -omics data.

@ast

DAnTE: a statistical tool for quantitative analysis of -omics data.

@en

P1433

Q31154320-407E9D85-1EB6-48D8-8AFD-44C865E23A23

P1476

Q31154320-F138D4B0-F1E2-42BA-833C-A93638A8F54F

P2093

Q31154320-05751FB2-DD70-4808-87CE-75EC52644D2E

Q31154320-50B0725D-9F24-4CE9-A795-D894D38A71B2

Q31154320-88CD36CA-346E-4D7E-BB95-0F5D59F0F4A4

Q31154320-9E131F6F-342A-4165-8459-ED2117FEE6B6

Q31154320-A1FFF9BB-E478-4605-86A0-5DA1D19A6FCC

P2860

Q31154320-0604FA0D-6DD2-4015-AC31-BB368A1E998C

Q31154320-4A6055B3-7A85-4C42-AC54-42A38463FB2C

Q31154320-4D5A93B6-E7C4-4568-987B-3FA298605E91

Q31154320-AC68A883-3C53-4F17-AE50-0E122522BC23

Q31154320-BD577178-7472-4E62-9296-FCEC86EDC5C4

Q31154320-D41CBDE7-AF0B-49A4-BFE2-28B7E5461B18

Q31154320-F2541503-49A4-4708-B09E-8B92B89FC962

Q31154320-F8C0A91B-77D9-47B1-9548-D9F3C4AD3500

P304

Q31154320-445ECA62-0B6A-4B6C-A105-90F80D2A9752

P31

Q31154320-F39226E0-FBE6-4373-96A5-CA443F8ABD05

P356

Q31154320-2B4E1D2C-5A9D-4CE7-AC00-5E791CED9699

P407

Q31154320-18322DAD-B865-4669-931E-6DD0EAC6493D

P433

Q31154320-B5E42721-A708-4EE4-B9B5-9BF5ABF11ACD

P478

Q31154320-DA970904-D537-4716-8173-C14C60A6DDC1

P50

Q31154320-238AE0C5-21CF-4ACF-8384-5D645552CF74

Q31154320-AF9FF774-B1B4-4342-8FD9-9DD6AB6A7F87

Q31154320-B3ACCA2C-714E-4A7C-AB85-770638247B96

P577

Q31154320-3DC755AB-88C9-4CB9-9385-5BC01A18D65D

P5875

Q31154320-3B5AE2A3-CF39-4C90-9AF2-99314CF96A80

P698

Q31154320-8DD242C5-3BFD-4D47-85A3-A92FF03126D5

P921

Q31154320-CD7E9CD6-78D8-4876-BCB2-D1E622D37166

P932

Q31154320-F23DDF99-C265-48DB-849B-588F187AFB06

P356

P1433

P1476

DAnTE: a statistical tool for quantitative analysis of -omics data

@en

P2093

Ashoka D Polpitiya

http://www.w3.org/2001/XMLSchema#string

David G Camp

http://www.w3.org/2001/XMLSchema#string

Gordon A Anderson

http://www.w3.org/2001/XMLSchema#string

Joshua N Adkins

http://www.w3.org/2001/XMLSchema#string

Navdeep Jaitly

http://www.w3.org/2001/XMLSchema#string

P2860

Bioconductor: open software development for computational biology and bioinformatics

An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database

Missing value estimation methods for DNA microarrays

TM4: a free, open-source system for microarray data management and analysis

Microarray data normalization and transformation

Statistical issues in cDNA microarray data analysis.

Normalization approaches for removing systematic biases associated with mass spectrometry and label-free proteomics.

A direct approach to false discovery rates

P304

1556-1558

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1093/BIOINFORMATICS/BTN217

http://www.w3.org/2001/XMLSchema#string

P407

P433

13

http://www.w3.org/2001/XMLSchema#string

P478

24

http://www.w3.org/2001/XMLSchema#string

P50

Vladislav A Petyuk

Richard D. Smith

P577

2008-05-03T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

5398330

http://www.w3.org/2001/XMLSchema#string

P698

18453552

http://www.w3.org/2001/XMLSchema#string

P921

P932

2692489

http://www.w3.org/2001/XMLSchema#string