- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Quantifying single nucleotide variant detection sensitivity in exome sequencing ; volume:14 ; number:1 ; day:18 ; month:6 ; year:2013 ; pages:1-10 ; date:12.2013
BMC bioinformatics ; 14, Heft 1 (18.6.2013), 1-10, 12.2013
- Creator
-
Meynert, Alison M.
- Contributor
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Bicknell, Louise S.
Hurles, Matthew E.
Jackson, Andrew P.
Taylor, Martin S.
SpringerLink (Online service)
- DOI
-
10.1186/1471-2105-14-195
- URN
-
urn:nbn:de:1111-2016021742024
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:23 AM CEST
Data provider
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Associated
- Meynert, Alison M.
- Bicknell, Louise S.
- Hurles, Matthew E.
- Jackson, Andrew P.
- Taylor, Martin S.
- SpringerLink (Online service)
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Achieving single nucleotide sensitivity in direct hybridization genome imaging
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Improving somatic variant identification through integration of genome and exome data
Impact of post-alignment processing in variant discovery from whole exome data
An integrative variant analysis suite for whole exome next-generation sequencing data
Quantifying sensitivity to droughts – an experimental modeling approach
Achieving single nucleotide sensitivity in direct hybridization genome imaging
Quantifying ABCA3 deficiency and ABCA3 variant-specific response to hydroxychloroquine
Automatic MRI Quantifying Methods in Behavioral-Variant Frontotemporal Dementia Diagnosis
DECA: scalable XHMM exome copy-number variant calling with ADAM and Apache Spark
Empirical Bayes single nucleotide variant-calling for next-generation sequencing data
Single-nucleotide variant calling in single-cell sequencing data with Monopogen
Variant detection sensitivity and biases in whole genome and exome sequencing
Global inference of disease-causing single nucleotide variants from exome sequencing data
Improving somatic variant identification through integration of genome and exome data
Impact of post-alignment processing in variant discovery from whole exome data
An integrative variant analysis suite for whole exome next-generation sequencing data
Quantifying sensitivity to droughts – an experimental modeling approach
Achieving single nucleotide sensitivity in direct hybridization genome imaging
Quantifying ABCA3 deficiency and ABCA3 variant-specific response to hydroxychloroquine
Automatic MRI Quantifying Methods in Behavioral-Variant Frontotemporal Dementia Diagnosis
DECA: scalable XHMM exome copy-number variant calling with ADAM and Apache Spark
Empirical Bayes single nucleotide variant-calling for next-generation sequencing data