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Indel detection from DNA and RNA sequencing data with transIndel
Rendong Yang
, Jamie L. Van Etten
,
Scott M. Dehm
The Hormel Institute
Masonic Cancer Center
Laboratory Medicine and Pathology
Research output
:
Contribution to journal
›
Article
›
peer-review
31
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Scopus citations
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Dive into the research topics of 'Indel detection from DNA and RNA sequencing data with transIndel'. Together they form a unique fingerprint.
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Keyphrases
DNA Sequencing
100%
RNA-sequencing Data
100%
Indel Detection
100%
DNA Sequence Data
100%
Large Deletion
75%
RNA-seq Data
75%
Prostate Cancer Patients
50%
Medium Size
50%
Splicing Event
50%
Large Insertion
50%
Disease Progression
25%
Disease Pathology
25%
Prostate Cancer
25%
Detection System
25%
Indel
25%
Human Disease
25%
Primary Prostate Cancer
25%
Parsing
25%
Non-canonical
25%
Standing up
25%
MRNA Level
25%
Competitive Performance
25%
Superior Performance
25%
RNA Sequencing (RNA-seq)
25%
RNA Splicing
25%
Cancer Genome Atlas
25%
Genomic Variation
25%
Large-sized
25%
Short Reads
25%
Mid-sized
25%
Forkhead Box A1 (FOXA1)
25%
Aligners
25%
Deletion Detection
25%
Split Read
25%
Linear Alignment
25%
RNA-seq Datasets
25%
Metastatic Prostate Cancer
25%
Insertion/deletion
25%
DNA Level
25%
Exitron
25%
Biochemistry, Genetics and Molecular Biology
Indel
100%
RNA Sequence
100%
DNA Sequence
66%
RNA Sequencing
55%
DNA RNA Hybridization
33%
RNA
11%
RNA Splicing
11%
FOXA1
11%
Genomics
11%