- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Effective normalization for copy number variation in Hi-C data ; volume:19 ; number:1 ; day:6 ; month:9 ; year:2018 ; pages:1-16 ; date:12.2018
BMC bioinformatics ; 19, Heft 1 (6.9.2018), 1-16, 12.2018
- Classification
-
Biowissenschaften, Biologie
- Creator
-
Servant, Nicolas
- Contributor
-
Varoquaux, Nelle
Heard, Edith
Barillot, Emmanuel
Vert, Jean-Philippe
SpringerLink (Online service)
- DOI
-
10.1186/s12859-018-2256-5
- URN
-
urn:nbn:de:101:1-2018102521233777341045
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 3:32 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Servant, Nicolas
- Varoquaux, Nelle
- Heard, Edith
- Barillot, Emmanuel
- Vert, Jean-Philippe
- SpringerLink (Online service)
Other Objects (12)
HiNT: a computational method for detecting copy number variations and translocations from Hi-C data
Normalization of array-CGH data: influence of copy number imbalances
Effective normalization for copy number variation detection from whole genome sequencing
HiCcompare: an R-package for joint normalization and comparison of HI-C datasets
Identification and utilization of copy number information for correcting Hi-C contact map of cancer cell lines
Hi-C as a tool for precise detection and characterisation of chromosomal rearrangements and copy number variation in human tumours
Binless normalization of Hi-C data provides significant interaction and difference detection independent of resolution
16S rRNA Gene Copy Number Normalization Does Not Provide More Reliable Conclusions in Metataxonomic Surveys
Normalization of Illumina Infinium whole-genome SNP data improves copy number estimates and allelic intensity ratios
Copy-number-variation and copy-number-alteration region detection by cumulative plots
Normalization and de-noising of single-cell Hi-C data with BandNorm and scVI-3D
Copy number variation and disease
HiNT: a computational method for detecting copy number variations and translocations from Hi-C data
Normalization of array-CGH data: influence of copy number imbalances
Effective normalization for copy number variation detection from whole genome sequencing
HiCcompare: an R-package for joint normalization and comparison of HI-C datasets
Identification and utilization of copy number information for correcting Hi-C contact map of cancer cell lines
Hi-C as a tool for precise detection and characterisation of chromosomal rearrangements and copy number variation in human tumours
Binless normalization of Hi-C data provides significant interaction and difference detection independent of resolution
16S rRNA Gene Copy Number Normalization Does Not Provide More Reliable Conclusions in Metataxonomic Surveys
Normalization of Illumina Infinium whole-genome SNP data improves copy number estimates and allelic intensity ratios
Copy-number-variation and copy-number-alteration region detection by cumulative plots
Normalization and de-noising of single-cell Hi-C data with BandNorm and scVI-3D
Copy number variation and disease
HiNT: a computational method for detecting copy number variations and translocations from Hi-C data
Normalization of array-CGH data: influence of copy number imbalances
Effective normalization for copy number variation detection from whole genome sequencing
HiCcompare: an R-package for joint normalization and comparison of HI-C datasets
Identification and utilization of copy number information for correcting Hi-C contact map of cancer cell lines
Hi-C as a tool for precise detection and characterisation of chromosomal rearrangements and copy number variation in human tumours
Binless normalization of Hi-C data provides significant interaction and difference detection independent of resolution
16S rRNA Gene Copy Number Normalization Does Not Provide More Reliable Conclusions in Metataxonomic Surveys
Normalization of Illumina Infinium whole-genome SNP data improves copy number estimates and allelic intensity ratios
Copy-number-variation and copy-number-alteration region detection by cumulative plots
Normalization and de-noising of single-cell Hi-C data with BandNorm and scVI-3D