ID
45160
Descrizione
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.
collegamento
Keywords
versioni (2)
- 28/08/22 28/08/22 - Simon Heim
- 12/10/22 12/10/22 - Adrian Schulz
Titolare del copyright
Mark A. Rubin, MD, Weill Cornell Medical College, New York, NY, USA
Caricato su
12 ottobre 2022
DOI
Per favore, per richiedere un accesso.
Licenza
Creative Commons BY 4.0
Commenti del modello :
Puoi commentare il modello dati qui. Tramite i fumetti nei gruppi di articoli e articoli è possibile aggiungere commenti a quelli in modo specifico.
Commenti del gruppo di articoli per :
Commenti dell'articolo per :
Per scaricare i modelli di dati devi essere registrato. Per favore accesso o registrati GRATIS.
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])
Non ci sono commenti