This SuperSeries is composed of the SubSeries listed below.
Overall design: Refer to individual Series
Accession | PRJNA844323; GEO: GSE205293 |
Type | Umbrella project |
Publications | Lin D et al., "MGA-seq: robust identification of extrachromosomal DNA and genetic variants using multiple genetic abnormality sequencing.", Genome Biol, 2023 Oct 30;24(1):247 |
Submission | Registration date: 1-Jun-2022 HZAU |
Relevance | Superseries |
Project Data:
Resource Name | Number of Links |
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Sequence data |
SRA Experiments | 17 |
Publications |
PubMed | 1 |
PMC | 1 |
Other datasets |
BioSample | 17 |
GEO DataSets | 5 |
MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell encompasses the following 4 sub-projects:
Project Type | Number of Projects |
Other | 3 |
BioProject accession | Organism | Title |
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PRJNA844337 | Homo sapiens | MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [Nanopore] (HZAU) | PRJNA844338 | Homo sapiens | MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [WGS] (HZAU) | PRJNA844315 | Homo sapiens | MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [MGA-Seq] (HZAU) |
|
Transcriptome or Gene expression | 1 |
BioProject accession | Organism | Title |
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PRJNA844316 | Homo sapiens | MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [RNA-Seq] (HZAU) |
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