Cargando…

PeptideWitch–A Software Package to Produce High-Stringency Proteomics Data Visualizations from Label-Free Shotgun Proteomics Data

PeptideWitch is a python-based web module that introduces several key graphical and technical improvements to the Scrappy software platform, which is designed for label-free quantitative shotgun proteomics analysis using normalised spectral abundance factors. The program inputs are low stringency pr...

Descripción completa

Detalles Bibliográficos
Autores principales:	Handler, David C. L., Cheng, Flora, Shathili, Abdulrahman M., Haynes, Paul A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564585/ https://www.ncbi.nlm.nih.gov/pubmed/32825686 http://dx.doi.org/10.3390/proteomes8030021

Ejemplares similares

A high-stringency blueprint of the human proteome
por: Adhikari, Subash, et al.
Publicado: (2020)

Targeted Feature Detection for Data-Dependent Shotgun Proteomics
por: Weisser, Hendrik, et al.
Publicado: (2017)

PAnalyzer: A software tool for protein inference in shotgun proteomics
por: Prieto, Gorka, et al.
Publicado: (2012)

MaxQuant Software for Ion Mobility Enhanced Shotgun Proteomics
por: Prianichnikov, Nikita, et al.
Publicado: (2020)

Isobaric Labeling-Based Relative Quantification in Shotgun Proteomics
por: Rauniyar, Navin, et al.
Publicado: (2014)

Shotgun proteomics of the barley seed proteome
por: Mahalingam, Ramamurthy
Publicado: (2017)

Network-assisted protein identification and data interpretation in shotgun proteomics
por: Li, Jing, et al.
Publicado: (2009)

Estimating relative abundances of proteins from shotgun proteomics data
por: McIlwain, Sean, et al.
Publicado: (2012)

Focus on the spectra that matter by clustering of quantification data in shotgun proteomics
por: The, Matthew, et al.
Publicado: (2020)

Data on European seabass fed with methionine-enriched diets obtained through label free shotgun proteomics
por: Farinha, Ana Paula, et al.
Publicado: (2020)

Label-Free Quantification from Direct Infusion Shotgun Proteome Analysis (DISPA-LFQ) with CsoDIAq Software
por: Jiang, Yuming, et al.
Publicado: (2022)

Informed-Proteomics: Open Source Software Package for Top-down Proteomics
por: Park, Jungkap, et al.
Publicado: (2017)

Shotgun proteomics data on the impact of hyperglycaemia on platelet protein acetylation by aspirin
por: Finamore, Francesco, et al.
Publicado: (2018)

Perfluorooctanoic Acid for Shotgun Proteomics
por: Kadiyala, Chandra Sekhar Rao, et al.
Publicado: (2010)

Shotgun Proteomics and Biomarker Discovery
por: McDonald, W. Hayes, et al.
Publicado: (2002)

Automated Protein Turnover Calculations from (15)N Partial Metabolic Labeling LC/MS Shotgun Proteomics Data
por: Lyon, David, et al.
Publicado: (2014)

Integrating shotgun proteomics and mRNA expression data to improve protein identification
por: Ramakrishnan, Smriti R., et al.
Publicado: (2009)

An inventory of the Aspergillus niger secretome by combining in silico predictions with shotgun proteomics data
por: Braaksma, Machtelt, et al.
Publicado: (2010)

Comparative Shotgun Proteomics Using Spectral Count Data and Quasi-Likelihood Modeling
por: Li, Ming, et al.
Publicado: (2010)

Comparative Shotgun Proteomics Using Spectral Count Data and Quasi-Likelihood Modeling
por: Li, Ming, et al.
Publicado: (2010)

PatternLab for proteomics: a tool for differential shotgun proteomics
por: Carvalho, Paulo C, et al.
Publicado: (2008)

Shotgun Proteomics for the Identification and Profiling of the Tear Proteome of Keratoconus Patients
por: López-López, Maite, et al.
Publicado: (2022)

A label-free quantitative shotgun proteomics analysis of rice grain development
por: Lee, Joohyun, et al.
Publicado: (2011)

Shotgun proteomic analysis of Anaeroglobus geminatus
por: Bao, Kai, et al.
Publicado: (2017)

Shotgun proteomics to characterize wastewater proteins
por: Sánchez-Jiménez, Ester, et al.
Publicado: (2023)

Characterization of the MDSC Proteome Associated with Metastatic Murine Mammary Tumors Using Label-Free Mass Spectrometry and Shotgun Proteomics
por: Boutté, Angela M., et al.
Publicado: (2011)

GO Explorer: A gene-ontology tool to aid in the interpretation of shotgun proteomics data
por: Carvalho, Paulo C, et al.
Publicado: (2009)

A Framework for Intelligent Data Acquisition and Real-Time Database Searching for Shotgun Proteomics
por: Graumann, Johannes, et al.
Publicado: (2012)

An Improvement of Shotgun Proteomics Analysis by Adding Next-Generation Sequencing Transcriptome Data in Orange
por: Song, Jiaping, et al.
Publicado: (2012)

Integrating Genomic, Transcriptomic, and Interactome Data to Improve Peptide and Protein Identification in Shotgun Proteomics
por: Wang, Xiaojing, et al.
Publicado: (2014)

promor: a comprehensive R package for label-free proteomics data analysis and predictive modeling
por: Ranathunge, Chathurani, et al.
Publicado: (2023)

Witch's Milk and Witches' Marks
por: Forbes, Thomas R.
Publicado: (1950)

Shotgun proteomic analysis of mulberry dwarf phytoplasma
por: Ji, Xianling, et al.
Publicado: (2010)

Computational approaches to protein inference in shotgun proteomics
por: Li, Yong Fuga, et al.
Publicado: (2012)

Quantitative Shotgun Proteome Analysis by Direct Infusion
por: Meyer, Jesse G., et al.
Publicado: (2020)

Increasing Coverage of Proteome Identification of the Fruiting Body of Agaricus bisporus by Shotgun Proteomics
por: Ham, Tae-Ho, et al.
Publicado: (2020)

Correction: promor: a comprehensive R package for label-free proteomics data analysis and predictive modeling
Publicado: (2023)

Correction: An Improvement of Shotgun Proteomics Analysis by Adding Next-Generation Sequencing Transcriptome Data in Orange
por: Song, Jiaping, et al.
Publicado: (2012)

In-depth method assessments of differentially expressed protein detection for shotgun proteomics data with missing values
por: Wang, Jinxia, et al.
Publicado: (2017)

Synaptome.db: a bioconductor package for synaptic proteomics data
por: Sorokina, Oksana, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_1mq51uscbv0dtg2jonjojrh5ss