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MINTIE: identifying novel structural and splice variants in transcriptomes using RNA-seq data
by
Ekert, Paul G.
, Schmidt, Breon
, Davidson, Nadia M.
, Cmero, Marek
, Oshlack, Alicia
, Majewski, Ian J.
in
Algorithms
/ Alternative splicing
/ Animal Genetics and Genomics
/ Bioinformatics
/ Biomedical and Life Sciences
/ Cancer
/ Disease
/ Evolutionary Biology
/ Fusion protein
/ Gene expression
/ gene expression regulation
/ Genetic Variation
/ genome
/ Genomes
/ Human Genetics
/ Humans
/ Leukemia
/ Life Sciences
/ Method
/ Methods
/ Microbial Genetics and Genomics
/ Plant Genetics and Genomics
/ Precursor B-Cell Lymphoblastic Leukemia-Lymphoma - genetics
/ Rare Diseases - genetics
/ Ribonucleic acid
/ RNA
/ RNA Splicing
/ RNA-Seq
/ sequence analysis
/ Software
/ Transcription
/ transcription (genetics)
/ Transcriptome
/ Transcriptomes
2021
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MINTIE: identifying novel structural and splice variants in transcriptomes using RNA-seq data
by
Ekert, Paul G.
, Schmidt, Breon
, Davidson, Nadia M.
, Cmero, Marek
, Oshlack, Alicia
, Majewski, Ian J.
in
Algorithms
/ Alternative splicing
/ Animal Genetics and Genomics
/ Bioinformatics
/ Biomedical and Life Sciences
/ Cancer
/ Disease
/ Evolutionary Biology
/ Fusion protein
/ Gene expression
/ gene expression regulation
/ Genetic Variation
/ genome
/ Genomes
/ Human Genetics
/ Humans
/ Leukemia
/ Life Sciences
/ Method
/ Methods
/ Microbial Genetics and Genomics
/ Plant Genetics and Genomics
/ Precursor B-Cell Lymphoblastic Leukemia-Lymphoma - genetics
/ Rare Diseases - genetics
/ Ribonucleic acid
/ RNA
/ RNA Splicing
/ RNA-Seq
/ sequence analysis
/ Software
/ Transcription
/ transcription (genetics)
/ Transcriptome
/ Transcriptomes
2021
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MINTIE: identifying novel structural and splice variants in transcriptomes using RNA-seq data
by
Ekert, Paul G.
, Schmidt, Breon
, Davidson, Nadia M.
, Cmero, Marek
, Oshlack, Alicia
, Majewski, Ian J.
in
Algorithms
/ Alternative splicing
/ Animal Genetics and Genomics
/ Bioinformatics
/ Biomedical and Life Sciences
/ Cancer
/ Disease
/ Evolutionary Biology
/ Fusion protein
/ Gene expression
/ gene expression regulation
/ Genetic Variation
/ genome
/ Genomes
/ Human Genetics
/ Humans
/ Leukemia
/ Life Sciences
/ Method
/ Methods
/ Microbial Genetics and Genomics
/ Plant Genetics and Genomics
/ Precursor B-Cell Lymphoblastic Leukemia-Lymphoma - genetics
/ Rare Diseases - genetics
/ Ribonucleic acid
/ RNA
/ RNA Splicing
/ RNA-Seq
/ sequence analysis
/ Software
/ Transcription
/ transcription (genetics)
/ Transcriptome
/ Transcriptomes
2021
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MINTIE: identifying novel structural and splice variants in transcriptomes using RNA-seq data
Journal Article
MINTIE: identifying novel structural and splice variants in transcriptomes using RNA-seq data
2021
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Overview
Calling fusion genes from RNA-seq data is well established, but other transcriptional variants are difficult to detect using existing approaches. To identify all types of variants in transcriptomes we developed MINTIE, an integrated pipeline for RNA-seq data. We take a reference-free approach, combining de novo assembly of transcripts with differential expression analysis to identify up-regulated novel variants in a case sample. We compare MINTIE with eight other approaches, detecting > 85% of variants while no other method is able to achieve this. We posit that MINTIE will be able to identify new disease variants across a range of disease types.
Publisher
BioMed Central,Springer Nature B.V,BMC
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