Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/978-1-...
Book . 2013 . Peer-reviewed
License: Springer Nature TDM
Data sources: Crossref
versions View all 1 versions
addClaim

Deep Sequencing Data Analysis

Deep Sequencing Data Analysis

Abstract

1. An Introduction to High-throughput Sequencing Experiments: Design and Bioinformatics Analysis Rachelly Normand and Itai Yanai 2. Compressing Resequencing Data with GReEn Armando J. Pinho Diogo Pratas Sara P. Garcia 3. On the Accuracy of Short Read Mapping Peter Menzel , Jes Frellsen , Mireya Plass, Simon H. Rasmussen, and Anders Krogh 4. Statistical Modeling of Coverage in High-Throughput Data David Golan and Saharon Rosset 5. Assembly Algorithms for Deep Sequencing Data: Basics and Pitfalls Nitzan Kol and Noam Shomron 6. Short Reads Mapping for Exome Sequencing Xueya Zhou, Suying Bao, Binbin Wang, Xuegong Zhang, and You-Qiang Song 7. -Profiling Short Tandem Repeats from Short Reads Melissa Gymrek and Yaniv Erlich 8. Exome Sequencing Analysis: A Guide to Disease Variant Detection Ofer Isakov, Marie Perrone, and Noam Shomron 9. Identifying RNA Editing Sites in miRNAs by Deep Sequencing Shahar Alon and Eli Eisenberg 10. Identifying Differential Alternative Splicing Events from RNA Sequencing Data using RNASeq-MATS Juw Won Park, Collin Tokheim, Shihao Shen, and Yi Xing 11. Optimizing Detection of Transcription Factor Binding Sites in ChIP-seq Experiments Aleksi Kallio and Laura L. Elo 12. Statistical Analysis of ChIP-seq Data with MOSAiCS Guannan Sun, Dongjun Chung, Kun Liang, and Sunduz Keles 13. Detection of Reverse Transcriptase Termination Sites using cDNA Ligation and Massive Parallel Sequencing Lukasz J. Kielpinski, Mette Boyd, Albin Sandelin, and Jeppe Vinther

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!