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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
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
:
Contribution to journal
›
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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Mathematics
Messenger RNA
74%
Gene
51%
Predict
48%
Prediction
23%
Evidence
14%
Genome
12%
CDNA
9%
Protein Sequence
8%
High Throughput
8%
Test Set
7%
Integrate
6%
Conservation
5%
Dynamic Programming
5%
Predictors
5%
Exceed
5%
Internal
4%
Partial
3%
Unknown
3%
Alternatives
3%
Performance
3%
Framework
3%
Characterization
3%
Form
2%
Engineering & Materials Science
Recombinant DNA
100%
Messenger RNA
73%
Genes
49%
Genomics
12%
Dynamic programming
5%
Conservation
5%
Proteins
5%
Pipelines
4%
Throughput
4%
Medicine & Life Sciences
Recombinant DNA
64%
Caenorhabditis elegans
57%
Messenger RNA
29%
Genes
21%
Genome Components
9%
Exons
4%
Complementary DNA
4%
Genome
3%
Proteins
2%
Chemical Compounds
Length
30%
Pipeline
30%
Protein
10%