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Deep Sequencing Data Analysis

Overview of attention for book
Cover of 'Deep Sequencing Data Analysis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 An Introduction to High-Throughput Sequencing Experiments: Design and Bioinformatics Analysis
  3. Altmetric Badge
    Chapter 2 Compressing Resequencing Data with GReEn
  4. Altmetric Badge
    Chapter 3 On the Accuracy of Short Read Mapping
  5. Altmetric Badge
    Chapter 4 Statistical Modeling of Coverage in High-Throughput Data
  6. Altmetric Badge
    Chapter 5 Assembly Algorithms for Deep Sequencing Data: Basics and Pitfalls
  7. Altmetric Badge
    Chapter 6 Short Read Mapping for Exome Sequencing
  8. Altmetric Badge
    Chapter 7 Profiling Short Tandem Repeats from Short Reads
  9. Altmetric Badge
    Chapter 8 Exome sequencing analysis: a guide to disease variant detection.
  10. Altmetric Badge
    Chapter 9 Identifying RNA Editing Sites in miRNAs by Deep Sequencing
  11. Altmetric Badge
    Chapter 10 Identifying Differential Alternative Splicing Events from RNA Sequencing Data Using RNASeq-MATS.
  12. Altmetric Badge
    Chapter 11 Optimizing Detection of Transcription Factor-Binding Sites in ChIP-seq Experiments
  13. Altmetric Badge
    Chapter 12 Statistical Analysis of ChIP-seq Data with MOSAiCS
  14. Altmetric Badge
    Chapter 13 Detection of Reverse Transcriptase Termination Sites Using cDNA Ligation and Massive Parallel Sequencing
Attention for Chapter 5: Assembly Algorithms for Deep Sequencing Data: Basics and Pitfalls
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Chapter title
Assembly Algorithms for Deep Sequencing Data: Basics and Pitfalls
Chapter number 5
Book title
Deep Sequencing Data Analysis
Published in
Methods in molecular biology, January 1991
DOI 10.1007/978-1-62703-514-9_5
Pubmed ID
23872970
Book ISBNs
978-1-62703-513-2, 978-1-62703-514-9
Authors

Nitzan Kol, Noam Shomron, Kol, Nitzan, Shomron, Noam

Abstract

Our ability to sequence the genomic data at our disposal is limited. At each experiment we can sequence reliably only a short fraction of even the smallest genome. We are then faced with the challenge of assembly-combining the short patches we have into a correct reconstruction of as large as possible a fragment of the original sample. The problem has been thoroughly researched and many commercial and academic tools exist to carry it out. However due to basic features of the problem the results of even our best efforts will be sometimes disappointing for the researcher. In this chapter we will try to explain why the assembly problem is so hard, what future directions may alleviate it in the near future, and what can be realistically expected from a current assembly experiment.

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X Demographics

The data shown below were collected from the profiles of 5 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 25%
Unknown 3 75%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 75%
Other 1 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 75%
Biochemistry, Genetics and Molecular Biology 1 25%
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 02 August 2013.
All research outputs
#12,587,328
of 22,715,151 outputs
Outputs from Methods in molecular biology
#3,126
of 13,079 outputs
Outputs of similar age
#47,102
of 59,350 outputs
Outputs of similar age from Methods in molecular biology
#1
of 1 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,079 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 75% of its peers.
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