ID
45160
Beskrivning
Principal Investigator: Mark A. Rubin, MD, Weill Cornell Medical College, New York, NY, USA MeSH: Prostatic Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000311 We have developed FusionSeq to identify fusion transcripts from paired-end RNA-sequencing. FusionSeq includes filters to remove spurious candidate fusions with artifacts such as misalignments or random pairing of transcript fragments and it ranks candidates according to several statistics. It also has a module to identify exact sequences at breakpoint junctions. FusionSeq detected known and novel fusions in a specially sequenced calibration data set, including 8 cancers with and without known rearrangements.
Länk
Nyckelord
Versioner (2)
- 2022-08-28 2022-08-28 - Simon Heim
- 2022-10-12 2022-10-12 - Adrian Schulz
Rättsinnehavare
Mark A. Rubin, MD, Weill Cornell Medical College, New York, NY, USA
Uppladdad den
12 oktober 2022
DOI
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Licens
Creative Commons BY 4.0
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dbGaP phs000311 FusionSeq: Finding Fusions with Paired-End RNA-Seq
Subject age, height, and family history of participants with prostate cancer.
- StudyEvent: SEV1
- Eligibility Criteria
- Subject ID, subject source, consent group, and affection status of participants with prostate cancer.
- Sample ID and sample source of participants with prostate cancer.
- Subject age, height, and family history of participants with prostate cancer.
- Sample ID, sample and tumor characteristics including tumor stage, grade, location, and sample type of participants with prostate cancer.
Similar models
Subject age, height, and family history of participants with prostate cancer.
- StudyEvent: SEV1
- Eligibility Criteria
- Subject ID, subject source, consent group, and affection status of participants with prostate cancer.
- Sample ID and sample source of participants with prostate cancer.
- Subject age, height, and family history of participants with prostate cancer.
- Sample ID, sample and tumor characteristics including tumor stage, grade, location, and sample type of participants with prostate cancer.
C2348585 (UMLS CUI [1,2])
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