↓ Skip to main content

Fungal Genomics

Overview of attention for book
Cover of 'Fungal Genomics'

Table of Contents

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

Mentioned by

twitter
1 X user

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
11 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
ChIP-Seq Analysis in Neurospora crassa
Chapter number 19
Book title
Fungal Genomics
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7804-5_19
Pubmed ID
Book ISBNs
978-1-4939-7803-8, 978-1-4939-7804-5
Authors

Aileen R. Ferraro, Zachary A. Lewis, Ferraro, Aileen R., Lewis, Zachary A.

Abstract

Chromatin immunoprecipitation paired with next-generation sequencing (ChIP-seq) can be used to determine genome-wide distribution of transcriptions factors, transcriptional machinery, or histone modifications. DNA-protein interactions are covalently cross-linked with the addition of formaldehyde. Chromatin is prepared and sheared, then immunoprecipitated with the appropriate antibody. After reversal of cross-linking and treating with protease, the resulting DNA fragments are sequenced and mapped to the reference genome to determine overall enrichment. Here we describe a method of ChIP-seq for investigating protein-DNA interactions in the filamentous fungus Neurospora crassa.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 18%
Student > Master 2 18%
Student > Bachelor 1 9%
Student > Ph. D. Student 1 9%
Researcher 1 9%
Other 0 0%
Unknown 4 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 36%
Agricultural and Biological Sciences 2 18%
Immunology and Microbiology 1 9%
Unknown 4 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 June 2018.
All research outputs
#20,879,072
of 23,498,099 outputs
Outputs from Methods in molecular biology
#10,161
of 13,368 outputs
Outputs of similar age
#380,627
of 444,852 outputs
Outputs of similar age from Methods in molecular biology
#1,173
of 1,485 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,368 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 444,852 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,485 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.