Evaluation and comparison of bioinformatic tools for the enrichment analysis of metabolomics data

被引:0
|
作者
Anna Marco-Ramell
Magali Palau-Rodriguez
Ania Alay
Sara Tulipani
Mireia Urpi-Sarda
Alex Sanchez-Pla
Cristina Andres-Lacueva
机构
[1] University of Barcelona,Biomarkers & Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA
[2] CIBER Fragilidad y Envejecimiento Saludable [CIBERfes],UB), Faculty of Pharmacy and Food Sciences, Pharmacy and Food Science Faculty
[3] Instituto de Salud Carlos III [ISCIII],Genetics, Microbiology and Statistics Department, Biology Faculty
[4] University of Barcelona,undefined
[5] Statistics and Bioinformatics Unit,undefined
[6] Vall d’Hebron Institut de Recerca (VHIR),undefined
来源
BMC Bioinformatics | / 19卷
关键词
Bioinformatic tools; Database; Enrichment; HumanCyc; KEGG; Metabolite; Metabolomics; Over-representation analysis; Pathway; Reactome;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [31] Weighted scaling approach for metabolomics data analysis
    Biplab Biswas
    Nishith Kumar
    Md. Aminul Hoque
    Md. Ashad Alam
    Japanese Journal of Statistics and Data Science, 2023, 6 : 785 - 802
  • [32] Weighted scaling approach for metabolomics data analysis
    Biswas, Biplab
    Kumar, Nishith
    Hoque, Md. Aminul
    Alam, Md. Ashad
    JAPANESE JOURNAL OF STATISTICS AND DATA SCIENCE, 2023, 6 (02) : 785 - 802
  • [33] A Review on Metabolomics Data Analysis for Cancer Applications
    Cardoso, Sara
    Baptista, Delora
    Santos, Rebeca
    Rocha, Miguel
    PRACTICAL APPLICATIONS OF COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2019, 803 : 157 - 165
  • [34] PhenoMeNal: processing and analysis of metabolomics data in the cloud
    Peters, Kristian
    Bradbury, James
    Bergmann, Sven
    Capuccini, Marco
    Cascante, Marta
    de Atauri, Pedro
    Ebbels, Timothy M. D.
    Foguet, Carles
    Glen, Robert
    Gonzalez-Beltran, Alejandra
    Gunther, Ulrich L.
    Handakas, Evangelos
    Hankemeier, Thomas
    Haug, Kenneth
    Herman, Stephanie
    Holub, Petr
    Izzo, Massimiliano
    Jacob, Daniel
    Johnson, David
    Jourdan, Fabien
    Kale, Namrata
    Karaman, Ibrahim
    Khalili, Bita
    Khonsari, Payam Emami
    Kultima, Kim
    Lampa, Samuel
    Larsson, Anders
    Ludwig, Christian
    Moreno, Pablo
    Neumann, Steffen
    Novella, Jon Ander
    O'Donovan, Claire
    Pearce, Jake T. M.
    Peluso, Alina
    Piras, Marco Enrico
    Pireddu, Luca
    Reed, Michelle A. C.
    Rocca-Serra, Philippe
    Roger, Pierrick
    Rosato, Antonio
    Rueedi, Rico
    Ruttkies, Christoph
    Sadawi, Noureddin
    Salek, Reza M.
    Sansone, Susanna-Assunta
    Selivanov, Vitaly
    Spjuth, Ola
    Schober, Daniel
    Thevenot, Etienne A.
    Tomasoni, Mattia
    GIGASCIENCE, 2019, 8 (02):
  • [35] WebSpecmine: A Website for Metabolomics Data Analysis and Mining
    Cardoso, Sara
    Afonso, Telma
    Maraschin, Marcelo
    Rocha, Miguel
    METABOLITES, 2019, 9 (10)
  • [36] Quantitative Comparison of Statistical Methods for Analyzing Human Metabolomics Data
    Henglin, Mir
    Claggett, Brian L.
    Antonelli, Joseph
    Alotaibi, Mona
    Magalang, Gino Alberto
    Watrous, Jeramie D.
    Lagerborg, Kim A.
    Ovsak, Gavin
    Musso, Gabriel
    Demler, Olga V.
    Vasan, Ramachandran S.
    Larson, Martin G.
    Jain, Mohit
    Cheng, Susan
    METABOLITES, 2022, 12 (06)
  • [37] Metabolic Pathway Analysis: Advantages and Pitfalls for the Functional Interpretation of Metabolomics and Lipidomics Data
    Tsouka, Sofia
    Masoodi, Mojgan
    BIOMOLECULES, 2023, 13 (02)
  • [38] Software Tools and Approaches for Compound Identification of LC-MS/MS Data in Metabolomics
    Blazenovic, Ivana
    Kind, Tobias
    Ji, Jian
    Fiehn, Oliver
    METABOLITES, 2018, 8 (02):
  • [39] Evaluation of Multivariate Classification Models for Analyzing NMR Metabolomics Data
    Thao Vu
    Siemek, Parker
    Bhinderwala, Fatema
    Xu, Yuhang
    Powers, Robert
    JOURNAL OF PROTEOME RESEARCH, 2019, 18 (09) : 3282 - 3294
  • [40] Cell culture process metabolomics together with multivariate data analysis tools opens new routes for bioprocess development and glycosylation prediction
    Zurcher, Philipp
    Sokolov, Michael
    Bruhlmann, David
    Ducommun, Raphael
    Stettler, Matthieu
    Souquet, Jonathan
    Jordan, Martin
    Broly, Herve
    Morbidelli, Massimo
    Butte, Alessandro
    BIOTECHNOLOGY PROGRESS, 2020, 36 (05)