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Fungal Genomics

Overview of attention for book
Cover of 'Fungal Genomics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction: Overview of Fungal Genomics
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    Chapter 2 Fungal Genomic DNA Extraction Methods for Rapid Genotyping and Genome Sequencing
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    Chapter 3 Purification of Fungal High Molecular Weight Genomic DNA from Environmental Samples
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    Chapter 4 Genome Sequencing
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    Chapter 5 Methods for Genomic Characterization and Maintenance of Anaerobic Fungi
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    Chapter 6 Efficient Extraction Method for High Quality Fungal RNA from Complex Lignocellulosic Substrates
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    Chapter 7 Isolation of High Quality RNA for Metatranscriptomic Analysis of Lignocellulose Digestion in the Rumen
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    Chapter 8 Fungal Transcriptomics
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    Chapter 9 Mass Spectrometry-Based Proteomics
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    Chapter 10 Mass Spectrometry-Based Metabolomics
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    Chapter 11 Genome Editing: CRISPR-Cas9
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    Chapter 12 Evolutionary Adaptation to Generate Mutants
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    Chapter 13 Genome Assembly
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    Chapter 14 Fungal Epigenomics: Detection and Analysis
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    Chapter 15 Fungal Genome Annotation
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    Chapter 16 Manual Gene Curation and Functional Annotation
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    Chapter 17 Evaluating Programs for Predicting Genes and Transcripts with RNA-Seq Support in Fungal Genomes
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    Chapter 18 Genomic Sequence Variation Analysis by Resequencing
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    Chapter 19 ChIP-Seq Analysis in Neurospora crassa
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    Chapter 20 Fungal Phylogenomics
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    Chapter 21 Phylogenetic Analysis of Protein Family
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    Chapter 22 Parasexual Crossings for Bulk Segregant Analysis in Aspergillus niger to Facilitate Mutant Identification Via Whole Genome Sequencing
Attention for Chapter 2: Fungal Genomic DNA Extraction Methods for Rapid Genotyping and Genome Sequencing
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Chapter title
Fungal Genomic DNA Extraction Methods for Rapid Genotyping and Genome Sequencing
Chapter number 2
Book title
Fungal Genomics
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7804-5_2
Pubmed ID
Book ISBNs
978-1-4939-7803-8, 978-1-4939-7804-5
Authors

Annie Bellemare, Tricia John, Sandrine Marqueteau, Bellemare, Annie, John, Tricia, Marqueteau, Sandrine

Abstract

Isolation of fungal genomic DNA of high quality is required for a number of downstream biotechnology-derived applications such as genome sequencing, microarrays, and digital PCR technologies, to only name a few. In most cases, not only a high molecular weight DNA of superior grade is required but also large quantities. On the other hand, a number of laboratory experiments, such as polymerase chain reaction (PCR) for medical diagnostic or for genotyping, have to be conducted in a limited amount of time and can provide complete results with the use of lower quality DNA. We describe here two different fungal DNA extraction approaches, which are applicable to a wide range of fungal species.First, we adapted a DNA extraction method for PCR-based genotyping which allows analysis of single to hundreds of colonies simultaneously. Cells are disrupted in the presence of sodium dodecyl sulfate and Proteinase K which are then removed by precipitation and centrifugation. The cleared lysate is used for PCR reaction.Secondly, we describe a method to obtain genome sequencing quality grade DNA from fungal liquid cultures. Mycelia are harvested by either filtration or centrifugation. Cells are mechanically disrupted by liquid nitrogen grinding, followed by genomic DNA extraction using the QIAGEN's DNeasy® Plant Kit. The quality and quantity of genomic DNA is monitored by fluorometry.

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The data shown below were collected from the profiles of 3 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 15%
Researcher 6 12%
Student > Bachelor 5 10%
Student > Ph. D. Student 4 8%
Student > Doctoral Student 3 6%
Other 7 13%
Unknown 19 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 25%
Biochemistry, Genetics and Molecular Biology 11 21%
Immunology and Microbiology 4 8%
Chemistry 2 4%
Computer Science 1 2%
Other 2 4%
Unknown 19 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 June 2018.
All research outputs
#13,543,461
of 23,088,369 outputs
Outputs from Methods in molecular biology
#3,626
of 13,206 outputs
Outputs of similar age
#218,371
of 442,629 outputs
Outputs of similar age from Methods in molecular biology
#348
of 1,499 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,206 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 72% 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 442,629 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 1,499 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.