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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Statistical Modeling of Coverage in High-Throughput Data
|
|---|---|
| Chapter number | 4 |
| Book title |
Deep Sequencing Data Analysis
|
| Published in |
Methods in molecular biology, January 2013
|
| DOI | 10.1007/978-1-62703-514-9_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-513-2, 978-1-62703-514-9
|
| Authors |
David Golan, Saharon Rosset, Golan, David, Rosset, Saharon |
| Abstract |
In high-throughput sequencing experiments, the number of reads mapping to a genomic region, also known as the "coverage" or "coverage depth," is often used as a proxy for the abundance of the underlying genomic region in the sample. The abundance, in turn, can be used for many purposes including calling SNPs, estimating the allele frequency in a pool of individuals, identifying copy number variations, and identifying differentially expressed shRNAs in shRNA-seq experiments.In this chapter we describe the fundamentals of statistical modeling of coverage depth and discuss the problems of estimation and inference in the relevant experimental scenarios. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Israel | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 50% |
| Researcher | 3 | 38% |
| Other | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 50% |
| Agricultural and Biological Sciences | 2 | 25% |
| Computer Science | 1 | 13% |
| Mathematics | 1 | 13% |
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 06 February 2014.
All research outputs
#18,363,356
of 22,743,667 outputs
Outputs from Methods in molecular biology
#7,863
of 13,089 outputs
Outputs of similar age
#218,121
of 280,838 outputs
Outputs of similar age from Methods in molecular biology
#219
of 340 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,089 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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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 is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.