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| Main Author: | |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Methods in molecular biology (Clifton, N.J.)
2025
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/40779106/ |
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| _version_ | 1868266167309697024 |
|---|---|
| author | Bao, Lisui |
| author_facet | Bao, Lisui Bao, Lisui |
| collection | PubMed - marine biology |
| contents | Starfish: Deciphering Complex Genomic Rearrangement Signatures Across Human Cancers. Bao, Lisui Humans Neoplasms DNA Copy Number Variations Gene Rearrangement Genomics Algorithms Computational Biology Software Genome, Human Complex genomic rearrangements (CGRs) in cancer often originate from abnormal cellular structures such as micronuclei and chromatin bridges. However, the primary mechanisms responsible for CGR formation in disease tissues remain unclear, particularly due to the challenges in fully capturing these processes. To address this, we have developed "Starfish," a computational algorithm to decipher CGR signatures and infer their forming mechanisms by analyzing distinctive copy number variations and breakpoint patterns. Here, we provide practical guidance on the application of "Starfish," available as an R package, to study CGR signatures in human cancers. |
| format | Artículo científico |
| id | pubmed_40779106 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Methods in molecular biology (Clifton, N.J.) |
| record_format | pubmed |
| spellingShingle | Starfish: Deciphering Complex Genomic Rearrangement Signatures Across Human Cancers. Bao, Lisui Humans Neoplasms DNA Copy Number Variations Gene Rearrangement Genomics Algorithms Computational Biology Software Genome, Human Starfish: Deciphering Complex Genomic Rearrangement Signatures Across Human Cancers. Bao, Lisui Humans Neoplasms DNA Copy Number Variations Gene Rearrangement Genomics Algorithms Computational Biology Software Genome, Human Complex genomic rearrangements (CGRs) in cancer often originate from abnormal cellular structures such as micronuclei and chromatin bridges. However, the primary mechanisms responsible for CGR formation in disease tissues remain unclear, particularly due to the challenges in fully capturing these processes. To address this, we have developed "Starfish," a computational algorithm to decipher CGR signatures and infer their forming mechanisms by analyzing distinctive copy number variations and breakpoint patterns. Here, we provide practical guidance on the application of "Starfish," available as an R package, to study CGR signatures in human cancers. |
| title | Starfish: Deciphering Complex Genomic Rearrangement Signatures Across Human Cancers. |
| topic | Humans Neoplasms DNA Copy Number Variations Gene Rearrangement Genomics Algorithms Computational Biology Software Genome, Human |
| url | https://pubmed.ncbi.nlm.nih.gov/40779106/ |