ID
45160
Descripción
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.
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Versiones (2)
- 28/8/22 28/8/22 - Simon Heim
- 12/10/22 12/10/22 - Adrian Schulz
Titular de derechos de autor
Mark A. Rubin, MD, Weill Cornell Medical College, New York, NY, USA
Subido en
12 de octubre de 2022
DOI
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Licencia
Creative Commons BY 4.0
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dbGaP phs000311 FusionSeq: Finding Fusions with Paired-End RNA-Seq
Eligibility Criteria
- 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.
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Eligibility Criteria
- 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.
C0586597 (UMLS CUI [1,2])
C2922133 (UMLS CUI [1,3])
C0027651 (UMLS CUI [1,4])
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C1512693 (UMLS CUI [2,1])
C0012854 (UMLS CUI [2,2])
C0370003 (UMLS CUI [2,3])
C0586597 (UMLS CUI [2,4])
C0178913 (UMLS CUI [2,5])
C0332152 (UMLS CUI [2,6])
C0033573 (UMLS CUI [2,7])