Amanote Research

Amanote Research

    RegisterSign In

GO Trimming: Systematically Reducing Redundancy in Large Gene Ontology Datasets

BMC Research Notes - United Kingdom
doi 10.1186/1756-0500-4-267
Full Text
Open PDF
Abstract

Available in full text

Categories
BiochemistryMedicineGeneticsMolecular Biology
Date

July 28, 2011

Authors
Stuart G JantzenBen JG SutherlandDavid R MinkleyBen F Koop
Publisher

Springer Science and Business Media LLC


Related search

Table 2: Gene Ontology (GO) Enrichment Analysis of 265 MsMYB Genes.

English

Improving SNR and Reducing Training Time of Classifiers in Large Datasets via Kernel Averaging

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2018English

Table 1: Gene Ontology (GO) Analysis of the Genes Involved in Hub Modules.

English

Figure 3: Functional Annotation of Assembled Sequences Based on Gene Ontology (GO) Categorization.

English

Table 3: Gene Ontology (GO) Enrichment Analysis (Top 3 Significantly Enriched Biology Terms).

English

Figure S1: The Gene Ontology (GO) Functional Categories of the 122 Functional Genes

English

Figure 3: Frequency Distribution of Selected Gene Ontology (GO) Terms Annotated toO. Faveolatatranscripts.

English

Figure 3: All Gene Ontology (GO) Enrichment Terms of All Pseudomale Highly Expressed Genes.

English

Figure 2: All Gene Ontology (GO) Enrichment Terms of All Female Highly Expressed Genes.

English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy