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Variant Calling

Overview of attention for book
Cover of 'Variant Calling'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Data Processing and Germline Variant Calling with the Sentieon Pipeline
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    Chapter 2 MuSE: A Novel Approach to Mutation Calling with Sample-Specific Error Modeling
  4. Altmetric Badge
    Chapter 3 Octopus: Genotyping and Haplotyping in Diverse Experimental Designs
  5. Altmetric Badge
    Chapter 4 Accurate Ensemble Prediction of Somatic Mutations with SMuRF2.
  6. Altmetric Badge
    Chapter 5 Detecting Medium and Large Insertions and Deletions with transIndel
  7. Altmetric Badge
    Chapter 6 DECoN: A Detection and Visualization Tool for Exonic Copy Number Variants
  8. Altmetric Badge
    Chapter 7 FACETS: Fraction and Allele-Specific Copy Number Estimates from Tumor Sequencing
  9. Altmetric Badge
    Chapter 8 Meerkat: An Algorithm to Reliably Identify Structural Variations and Predict Their Forming Mechanisms
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    Chapter 9 Structural Variant Detection from Long-Read Sequencing Data with cuteSV
  11. Altmetric Badge
    Chapter 10 Identifying Somatic Mitochondrial DNA Mutations
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    Chapter 11 Identification, Quantification, and Testing of Alternative Splicing Events from RNA-Seq Data Using SplAdder
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    Chapter 12 PipeIT2: Somatic Variant Calling Workflow for Ion Torrent Sequencing Data
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    Chapter 13 Variant Calling from RNA-seq Data Using the GATK Joint Genotyping Workflow
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    Chapter 14 UMI-Varcal: A Low-Frequency Variant Caller for UMI-Tagged Paired-End Sequencing Data
  16. Altmetric Badge
    Chapter 15 Alignment-Free Genotyping of Known Variations with MALVA
  17. Altmetric Badge
    Chapter 16 Kmer2SNP: Reference-Free Heterozygous SNP Calling Using k-mer Frequency Distributions
  18. Altmetric Badge
    Chapter 17 Somatic Single-Nucleotide Variant Calling from Single-Cell DNA Sequencing Data Using SCAN-SNV.
  19. Altmetric Badge
    Chapter 18 Copy Number Variation Detection by Single-Cell DNA Sequencing with SCOPE
  20. Altmetric Badge
    Chapter 19 Variant Annotation and Functional Prediction: SnpEff
  21. Altmetric Badge
    Chapter 20 Annotating Cancer-Related Variants at Protein–Protein Interface with Structure-PPi
  22. Altmetric Badge
    Chapter 21 Preanalytical Variables and Sample Quality Control for Clinical Variant Analysis
Attention for Chapter 18: Copy Number Variation Detection by Single-Cell DNA Sequencing with SCOPE
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Chapter title
Copy Number Variation Detection by Single-Cell DNA Sequencing with SCOPE
Chapter number 18
Book title
Variant Calling
Published in
Methods in molecular biology, June 2022
DOI 10.1007/978-1-0716-2293-3_18
Pubmed ID
35751822
Book ISBNs
978-1-07-162292-6, 978-1-07-162293-3
Authors

Wang, Rujin, Jiang, Yuchao

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 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 June 2022.
All research outputs
#14,784,026
of 23,946,786 outputs
Outputs from Methods in molecular biology
#4,176
of 13,534 outputs
Outputs of similar age
#203,990
of 428,197 outputs
Outputs of similar age from Methods in molecular biology
#78
of 340 outputs
Altmetric has tracked 23,946,786 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,534 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 67% 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 428,197 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 340 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.

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