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DNA copy number profiling using single-cell sequencing
- Source :
- Briefings in bioinformatics, vol 19, iss 5
- Publication Year :
- 2016
-
Abstract
- Currently, there is a lack of software for detecting copy number variations and constructing copy number profile for the whole genome from single-cell DNA sequencing data, which are often of low coverage and high technical noises. Here we introduce a new toolkit, SCNV, which features an efficient bin-free segmentation approach and provides the highest resolution possible for breakpoint detection and the subsequent copy number calling. SCNV can auto-tune parameters based on a set of normal cells from the same batch to adjust for the technical noise level of the data, facilitating its application to data gathered from different platforms and different studies.
- Subjects :
- 0301 basic medicine
Paper
DNA Copy Number Variations
Bioinformatics
Computer science
DNA copy number variation
Copy number analysis
Bioengineering
Computational biology
single-cell sequencing
Deep sequencing
DNA sequencing
03 medical and health sciences
0302 clinical medicine
change point detection
Neoplasms
tumor heterogeneity
Genetics
Humans
Copy-number variation
Other Information and Computing Sciences
Molecular Biology
Exome sequencing
Genome
Massive parallel sequencing
Ploidies
Shotgun sequencing
Genome, Human
Human Genome
Computational Biology
High-Throughput Nucleotide Sequencing
Computation Theory and Mathematics
DNA
DNA, Neoplasm
Sequence Analysis, DNA
030104 developmental biology
Single cell sequencing
Neoplasm
Generic health relevance
Biochemistry and Cell Biology
Single-Cell Analysis
Sequence Analysis
030217 neurology & neurosurgery
Software
Human
Biotechnology
Information Systems
Subjects
Details
- ISSN :
- 14774054
- Volume :
- 19
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Briefings in bioinformatics
- Accession number :
- edsair.doi.dedup.....3f2e7c71bda559b7d73f5c24a1a80989