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Paper Details

annoFuse: an R Package to annotate, prioritize, and interactively explore putative oncogenic RNA fusions.
BMC Bioinformatics
5
2020
COSMIC genes, RNA, RNA-Seq samples, TCGA RNA-Seq, adult and pediatric cancers, annoFuse, brain tumor, cancer, fused genes, gene fusion, gene fusions, gene partners, healthy normal tissue, oncogenes, oncogenic RNA fusions, oncogenic fusions, patient, pediatric brain tumor, recurrently, transcript, tumor, tumor suppressor genes, tumors
Author NameAffiliation
Krutika S GaonkarCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Krutika S GaonkarChildren's Hospital of Philadelphia
Krutika S GaonkarChildren's Hospital of Philadelphia
Krutika S GaonkarCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Krutika S GaonkarChildren's Hospital of Philadelphia
Krutika S GaonkarChildren's Hospital of Philadelphia
Federico MariniInstitute of Medical Biostatistics, University Medical Center of the Johannes Gutenberg University Mainz
Federico MariniCenter for Thrombosis and Hemostasis
Komal S RathiCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Komal S RathiChildren's Hospital of Philadelphia
Komal S RathiChildren's Hospital of Philadelphia
Komal S RathiCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Komal S RathiChildren's Hospital of Philadelphia
Komal S RathiChildren's Hospital of Philadelphia
Payal JainCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Payal JainChildren's Hospital of Philadelphia
Payal JainCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Payal JainChildren's Hospital of Philadelphia
Yuankun ZhuCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Yuankun ZhuChildren's Hospital of Philadelphia
Yuankun ZhuCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Yuankun ZhuChildren's Hospital of Philadelphia
Nicholas A ChimiclesCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Nicholas A ChimiclesChildren's Hospital of Philadelphia
Miguel A BrownCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Miguel A BrownChildren's Hospital of Philadelphia
Ammar S NaqviCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Ammar S NaqviChildren's Hospital of Philadelphia
Ammar S NaqviChildren's Hospital of Philadelphia
Bo ZhangCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Bo ZhangChildren's Hospital of Philadelphia
Phillip B StormCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Phillip B StormChildren's Hospital of Philadelphia
Phillip B StormCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Phillip B StormChildren's Hospital of Philadelphia
John M MarisChildren's Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania
John M MarisChildren's Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania
Pichai RamanCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Pichai RamanChildren's Hospital of Philadelphia
Pichai RamanChildren's Hospital of Philadelphia
Pichai RamanCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Pichai RamanChildren's Hospital of Philadelphia
Pichai RamanChildren's Hospital of Philadelphia
Adam C ResnickCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Adam C ResnickChildren's Hospital of Philadelphia
Adam C ResnickChildren's Hospital of Philadelphia
Adam C ResnickCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia
Adam C ResnickChildren's Hospital of Philadelphia
Adam C ResnickChildren's Hospital of Philadelphia
Konstantin StrauchInstitute of Medical Biostatistics, University Medical Center of the Johannes Gutenberg University Mainz
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Datasets

PfamA database of conserved protein families and domains. Pfam is a member database of InterPro.Link
PfamMultiple sequence alignments and hidden Markov models of common protein domainsLink
PfamMultiple sequence alignments and hidden Markov models of common protein domainsLink
PfamA database of conserved protein families and domains. Pfam is a member database of InterPro.Link
PfamA database of conserved protein families and domains. Pfam is a member database of InterPro.Link
PfamMultiple sequence alignments and hidden Markov models of common protein domainsLink
PfamA database of conserved protein families and domains. Pfam is a member database of InterPro.Link
PfamA database of conserved protein families and domains. Pfam is a member database of InterPro.Link
PfamA database of conserved protein families and domains. Pfam is a member database of InterPro.Link
PfamMultiple sequence alignments and hidden Markov models of common protein domainsLink
PfamMultiple sequence alignments and hidden Markov models of common protein domainsLink
PfamMultiple sequence alignments and hidden Markov models of common protein domainsLink
PfamA database of conserved protein families and domains. Pfam is a member database of InterPro.Link
PfamA database of conserved protein families and domains. Pfam is a member database of InterPro.Link
PfamA database of conserved protein families and domains. Pfam is a member database of InterPro.Link