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Using mRNAs lengths to accurately predict the alternatively spliced gene products in Caenorhabditis elegans
Ritesh Agrawal, Gary D. Stormo
Department of Genetics
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
Institute of Clinical and Translational Sciences (ICTS)
Edison Family Center for Genome Sciences & Systems Biology
DBBS - Computational and Systems Biology
DBBS - Human and Statistical Genetics
DBBS - Molecular Genetics and Genomics
DBBS - Biochemistry, Biophysics, and Structural Biology
Research output
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Contribution to journal
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Article
›
peer-review
2
Scopus citations
Overview
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Dive into the research topics of 'Using mRNAs lengths to accurately predict the alternatively spliced gene products in Caenorhabditis elegans'. Together they form a unique fingerprint.
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Keyphrases
Gene Products
100%
Alternative Splicing
100%
Caenorhabditis Elegans
100%
Finders
100%
Evidence-based
66%
Gene Prediction
66%
Complementary DNA (cDNA)
33%
New Evidence
33%
Protein Sequence
33%
Exon
33%
High-throughput
33%
Gene Structure
33%
Sequence Conservation
33%
Genome Analysis
33%
Gene Finding
33%
Prediction Method
33%
Complete Set
33%
Sources of Evidence
33%
Prediction pipeline
33%
Dynamic Programming
33%
Length Constraint
33%
Alternative Products
33%
Biochemistry, Genetics and Molecular Biology
Gene Product
100%
Caenorhabditis Elegans
100%
Exon
50%
Peptide Sequence
50%
Gene Structure
50%
Neuroscience
Caenorhabditis Elegans
100%
Gene Product
100%
Amino Acid Sequence
50%
Exon
50%
Gene Structure
50%