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Plant Bioinformatics

Overview of attention for book
Cover of 'Plant Bioinformatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Using GenBank.
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    Chapter 2 UniProtKB/Swiss-Prot, the Manually Annotated Section of the UniProt KnowledgeBase: How to Use the Entry View.
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    Chapter 3 KEGG Bioinformatics Resource for Plant Genomics and Metabolomics.
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    Chapter 4 Plant Bioinformatics
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    Chapter 5 The Plant Ontology: A Tool for Plant Genomics.
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    Chapter 6 Ensembl Plants: Integrating Tools for Visualizing, Mining, and Analyzing Plant Genomics Data.
  8. Altmetric Badge
    Chapter 7 Gramene: A Resource for Comparative Analysis of Plants Genomes and Pathways.
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    Chapter 8 PGSB/MIPS Plant Genome Information Resources and Concepts for the Analysis of Complex Grass Genomes.
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    Chapter 9 MaizeGDB: The Maize Genetics and Genomics Database.
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    Chapter 10 WheatGenome.info: A Resource for Wheat Genomics Resource.
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    Chapter 11 User Guidelines for the Brassica Database: BRAD.
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    Chapter 12 TAG Sequence Identification of Genomic Regions Using TAGdb.
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    Chapter 13 Short Read Alignment Using SOAP2.
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    Chapter 14 Tablet: Visualizing Next-Generation Sequence Assemblies and Mappings.
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    Chapter 15 Analysis of Genotyping-by-Sequencing (GBS) Data.
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    Chapter 16 Skim-Based Genotyping by Sequencing Using a Double Haploid Population to Call SNPs, Infer Gene Conversions, and Improve Genome Assemblies.
  18. Altmetric Badge
    Chapter 17 Finding and Characterizing Repeats in Plant Genomes.
  19. Altmetric Badge
    Chapter 18 Analysis of RNA-Seq Data Using TopHat and Cufflinks.
Attention for Chapter 7: Gramene: A Resource for Comparative Analysis of Plants Genomes and Pathways.
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Chapter title
Gramene: A Resource for Comparative Analysis of Plants Genomes and Pathways.
Chapter number 7
Book title
Plant Bioinformatics
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3167-5_7
Pubmed ID
Book ISBNs
978-1-4939-3166-8, 978-1-4939-3167-5
Authors

Tello-Ruiz, Marcela Karey, Stein, Joshua, Wei, Sharon, Youens-Clark, Ken, Jaiswal, Pankaj, Ware, Doreen, Marcela Karey Tello-Ruiz, Joshua Stein, Sharon Wei, Ken Youens-Clark, Pankaj Jaiswal, Doreen Ware

Editors

David Edwards

Abstract

Gramene is an integrated informatics resource for accessing, visualizing, and comparing plant genomes and biological pathways. Originally targeting grasses, Gramene has grown to host annotations for economically important and research model crops, including wheat, potato, tomato, banana, grape, poplar, and Chlamydomonas. Its strength derives from the application of a phylogenetic framework for genome comparison and the use of ontologies to integrate structural and functional annotation data. This chapter outlines system requirements for end users and database hosting, data types and basic navigation within Gramene, and provides examples of how to (1) view a phylogenetic tree for a family of transcription factors, (2) explore genetic variation in the orthologues of a gene with a known trait association, and (3) upload, visualize, and privately share end user data into a new genome browser track.Moreover, this is the first publication describing Gramene's new web interface-intended to provide a simplified portal to the most complete and up-to-date set of plant genome and pathway annotations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 9%
Italy 1 9%
Unknown 9 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 27%
Student > Bachelor 3 27%
Student > Postgraduate 2 18%
Student > Ph. D. Student 2 18%
Other 1 9%
Other 0 0%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 82%
Biochemistry, Genetics and Molecular Biology 1 9%
Environmental Science 1 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 May 2016.
All research outputs
#13,449,870
of 22,831,537 outputs
Outputs from Methods in molecular biology
#3,620
of 13,126 outputs
Outputs of similar age
#189,575
of 393,555 outputs
Outputs of similar age from Methods in molecular biology
#349
of 1,470 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,126 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 393,555 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.