Literature DB >> 27812944

Gene Ontology: Pitfalls, Biases, and Remedies.

Pascale Gaudet1,2, Christophe Dessimoz3,4,5,6,7.   

Abstract

The Gene Ontology (GO) is a formidable resource, but there are several considerations about it that are essential to understand the data and interpret it correctly. The GO is sufficiently simple that it can be used without deep understanding of its structure or how it is developed, which is both a strength and a weakness. In this chapter, we discuss some common misinterpretations of the ontology and the annotations. A better understanding of the pitfalls and the biases in the GO should help users make the most of this very rich resource. We also review some of the misconceptions and misleading assumptions commonly made about GO, including the effect of data incompleteness, the importance of annotation qualifiers, and the transitivity or lack thereof associated with different ontology relations. We also discuss several biases that can confound aggregate analyses such as gene enrichment analyses. For each of these pitfalls and biases, we suggest remedies and best practices.

Entities:  

Keywords:  Bias; Confounding; Data mining; Gene ontology; Gene/protein annotation; Simpson’s paradox

Mesh:

Substances:

Year:  2017        PMID: 27812944     DOI: 10.1007/978-1-4939-3743-1_14

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  32 in total

Review 1.  Mode of action-based risk assessment of genotoxic carcinogens.

Authors:  Andrea Hartwig; Michael Arand; Bernd Epe; Sabine Guth; Gunnar Jahnke; Alfonso Lampen; Hans-Jörg Martus; Bernhard Monien; Ivonne M C M Rietjens; Simone Schmitz-Spanke; Gerlinde Schriever-Schwemmer; Pablo Steinberg; Gerhard Eisenbrand
Journal:  Arch Toxicol       Date:  2020-06-15       Impact factor: 5.153

2.  Detecting Structural Variants and Associated Gene Presence-Absence Variation Phenomena in the Genomes of Marine Organisms.

Authors:  Marco Sollitto; Nathan J Kenny; Samuele Greco; Carmen Federica Tucci; Andrew D Calcino; Marco Gerdol
Journal:  Methods Mol Biol       Date:  2022

3.  Identification of Critical Biomarkers and Immune Infiltration in Rheumatoid Arthritis Based on WGCNA and LASSO Algorithm.

Authors:  Fan Jiang; Hongyi Zhou; Haili Shen
Journal:  Front Immunol       Date:  2022-06-29       Impact factor: 8.786

4.  Identification of a novel ceRNA network related to prognosis and immunity in HNSCC based on integrated bioinformatic investigation.

Authors:  Hongbo Liu; Guoli Hei; Lu Zhang; Yanxia Jiang; Haijun Lu
Journal:  Sci Rep       Date:  2022-10-20       Impact factor: 4.996

5.  Integrative analyses of immune-related biomarkers and associated mechanisms in coronary heart disease.

Authors:  Lianbo Zhang; Guibin Li; Bo Liang; Xiaoli Su; Haolin Xie; Hongxia Sun; Ge Wu
Journal:  BMC Med Genomics       Date:  2022-10-20       Impact factor: 3.622

6.  Monitoring changes in the Gene Ontology and their impact on genomic data analysis.

Authors:  Matthew Jacobson; Adriana Estela Sedeño-Cortés; Paul Pavlidis
Journal:  Gigascience       Date:  2018-08-01       Impact factor: 6.524

7.  Genome-wide mutation profiling and related risk signature for prognosis of papillary renal cell carcinoma.

Authors:  Chuanjie Zhang; Yuxiao Zheng; Xiao Li; Xin Hu; Feng Qi; Jun Luo
Journal:  Ann Transl Med       Date:  2019-09

8.  Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis.

Authors:  Jie Jiang; Chong Liu; Guoyong Xu; Tuo Liang; Chaojie Yu; Shian Liao; Zide Zhang; Zhaojun Lu; Zequn Wang; Jiarui Chen; Tianyou Chen; Hao Li; Xinli Zhan
Journal:  Front Oncol       Date:  2021-04-12       Impact factor: 6.244

9.  TRIM68, PIKFYVE, and DYNLL2: The Possible Novel Autophagy- and Immunity-Associated Gene Biomarkers for Osteosarcoma Prognosis.

Authors:  Jie Jiang; Dachang Liu; Guoyong Xu; Tuo Liang; Chaojie Yu; Shian Liao; Liyi Chen; Shengsheng Huang; Xuhua Sun; Ming Yi; Zide Zhang; Zhaojun Lu; Zequn Wang; Jiarui Chen; Tianyou Chen; Hao Li; Yuanlin Yao; Wuhua Chen; Hao Guo; Chong Liu; Xinli Zhan
Journal:  Front Oncol       Date:  2021-04-22       Impact factor: 6.244

10.  MicroRNA profiles in five pairs of early gastric cancer tissues and adjacent non-cancerous tissues.

Authors:  Yuan Liang; Yongxun Zhao; Longquan Li; Hui Wei; Taobi Huang; Huiyun Zhang; Xia Chen; Heng Yun; Weiming Sun; Yuping Wang
Journal:  Oncol Lett       Date:  2021-06-07       Impact factor: 2.967

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.