Efficient and Comprehensive Representation of Uniqueness for Next-Generation Sequencing by Minimum Unique Length Analyses

Helena Storvall; Daniel Ramsköld; Rickard Sandberg

doi:10.1371/journal.pone.0053822

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Open Access

Peer-reviewed

Research Article

Efficient and Comprehensive Representation of Uniqueness for Next-Generation Sequencing by Minimum Unique Length Analyses

Helena Storvall,

Affiliation Ludwig Institute for Cancer Research, and Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
⨯
Daniel Ramsköld,

Affiliation Ludwig Institute for Cancer Research, and Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
⨯
Rickard Sandberg

* E-mail: Rickard.Sandberg@ki.se

Affiliation Ludwig Institute for Cancer Research, and Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
⨯

Efficient and Comprehensive Representation of Uniqueness for Next-Generation Sequencing by Minimum Unique Length Analyses

Helena Storvall,
Daniel Ramsköld,
Rickard Sandberg

Published: January 18, 2013
https://doi.org/10.1371/journal.pone.0053822

About the Authors

Helena Storvall

Affiliation Ludwig Institute for Cancer Research, and Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden

Daniel Ramsköld

Affiliation Ludwig Institute for Cancer Research, and Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden

Rickard Sandberg

* E-mail: Rickard.Sandberg@ki.se

Affiliation Ludwig Institute for Cancer Research, and Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: HS DR RS. Performed the experiments: HS. Analyzed the data: HS. Contributed reagents/materials/analysis tools: HS DR. Wrote the paper: HS DR RS.

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Mammalian genomics
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Genomics
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Transcriptome analysis
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Gene expression
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Gene mapping
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RNA sequencing
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Human genomics
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Genome annotation
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