mRNABench
Collection
Collection of datasets re-hosted for mRNABench: https://github.com/morrislab/mRNABench • 13 items • Updated • 3
Datasets:
transcript_id stringlengths 17 24 | gene stringlengths 2 15 | chromosome stringclasses 24
values | sequence stringlengths 303 17.5k | cds listlengths 303 17.5k | splice listlengths 303 17.5k | target float32 -2.64 3.49 |
|---|---|---|---|---|---|---|
ENST00000373020.9 | TSPAN6 | X | AGTTGTGGACGCTCGTAAGTTTTCGGCAGTTTCCGGGGAGACTCGGGGACTCCGCGTCTCGCTCTCTGTGTTCCAATCGCCCGGTGCGGTGGTGCAGGGTCTCGGGCTAGTCATGGCGTCCCCGTCTCGGAGACTGCAGACTAAACCAGTCATTACTTGTTTCAAGAGCGTTCTGCTAATCTACACTTTTATTTTCTGGATCACTGGCGTTATCCTTCTTGCAGTTGGCATTTGGGGCAAGGTGAGCCTGGAGAATTACTTTTCTCTTTTAAATGAGAAGGCCACCAATGTCCCCTTCGTGCTCATTGCTACTGGTACCG... | [
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ENST00000371588.10 | DPM1 | 20 | AGTTCCGCCATGGCCTCCTTGGAAGTCAGTCGTAGTCCTCGCAGGTCTCGGCGGGAGCTGGAAGTGCGCAGTCCACGACAGAACAAATATTCGGTGCTTTTACCTACCTACAACGAGCGCGAGAACCTGCCGCTCATCGTGTGGCTGCTGGTGAAAAGCTTCTCCGAGAGTGGAATCAACTATGAAATTATAATCATAGATGATGGAAGCCCAGATGGAACAAGGGATGTTGCTGAACAGTTGGAGAAGATCTATGGGTCAGACAGAATTCTTCTAAGACCACGAGAGAAAAAGTTGGGACTAGGAACTGCATATATTCA... | [
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ENST00000367772.8 | SCYL3 | 1 | TGTCCCGTTTCCGGACCCGTCTCTATGGTGTAGGAGAAACCCGGCCCCCAGAAGATTGTGGGTGTAGTGGCCACAGCCTTACAGGCAGGCAGGGGTGGTTGGTGTCAACAGGGGGGCCAACAGGGTACCAGAGCCAAGACCCTCGGCCTCCTCCCCCGCCGCCTTCCTGCAGATCTGCTTGGCTTTGAGGAAGAGTGGCAGTACTGCCTCACTGCATAAGGGATGGGATCAGAGAACAGTGCTTTAAAGAGCTATACACTGAGAGAACCACCATTTACCTTACCCTCTGGACTTGCTGTTTATCCCGCTGTACTGCAAGA... | [
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ENST00000286031.10 | C1orf112 | 1 | GGCTTTGGCCCTGGAAAGCCTCGCGGACGTGTTCTGACCCAAGGTTTTAGCAGTGGATGTGGCGTTTTCTTCCATTCCTTCTTTCAGTTTTTCTGTACTCGTTGCTTGCAATTAAGTGTAAATACTTTTGCTAGTGGATAATGGGGGAGGCAAGGACTGAGACCTGCGGTATGACGATAGCTCTGGCTCTTAATAGTTTGAGGTAAAGCGAGATACTCTGAGCTTTTGTCTCCCGTAAAAAGGGTGGTGAATATGAATAAGGGCTTTCTTAGCGTTATAAGAATTAAAGGGCATAGTTCTGTGGTGTGAAATCTTTAAAA... | [
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ENST00000367429.9 | CFH | 1 | ACAATTCTTGGAAGAGGAGAACTGGACGTTGTGAACAGAGTTAGCTGGTAAATGTCCTCTTAAAAGATCCAAAAAATGAGACTTCTAGCAAAGATTATTTGCCTTATGTTATGGGCTATTTGTGTAGCAGAAGATTGCAATGAACTTCCTCCAAGAAGAAATACAGAAATTCTGACAGGTTCCTGGTCTGACCAAACATATCCAGAAGGCACCCAGGCTATCTATAAATGCCGCCCTGGATATAGATCTCTTGGAAATGTAATAATGGTATGCAGGAAGGGAGAATGGGTTGCTCTTAATCCATTAAGGAAATGTCAGAA... | [
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ENST00000002165.11 | FUCA2 | 6 | GCGGCATACTCAGCGGCAGAGACGGAAGAACAGCGCTCCCGAGGCCGCGGGAGCCTGCAGAGAGGACAGCCGGCCTGCGCCGGGACATGCGGCCCCAGGAGCTCCCCAGGCTCGCGTTCCCGTTGCTGCTGTTGCTGTTGCTGCTGCTGCCGCCGCCGCCGTGCCCTGCCCACAGCGCCACGCGCTTCGACCCCACCTGGGAGTCCCTGGACGCCCGCCAGCTGCCCGCGTGGTTTGACCAGGCCAAGTTCGGCATCTTCATCCACTGGGGAGTGTTTTCCGTGCCCAGCTTCGGTAGCGAGTGGTTCTGGTGGTATTGG... | [
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ENST00000650454.1 | GCLC | 6 | AGGAGCGGCGAGCTAGCGGACGCAAAGACTGGGCATGCTCCGCGGCGGCGCAGGTTTTGGTCACAAGTAGGAAGAAGCCAGTGCACCAGACCGGCAAAGAGAAGCGGGAGCCGCCGCGGCAGCGCGGCCGTGGGGTCCGCCGCCGCCGCATCGGAGCGGGAGGAGGAGCAGCGGGGAGGGCGAGGCCGCCGGGCCGAGAGCCGTCCCGCCTGCTCTCGGTCTTCTGCCTTCGCCTCCGCGCGGTGCGTCGGACCCAGGGTCTGTCACCTGGGCGCCAGGGGCCGCCGCCGGGGAGCCGGAGCGGGCAGGACCCTCCCTCC... | [
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ENST00000341376.11 | NFYA | 6 | GCTAGGCAGCGGCAGTGGCGGCGGCAGCGGCGGCTGGAGCCTCTGATTGGGTTTCGGAGTCCGGTACTGGAGCCAATCAGCGCGGGCAGCGAACCGGGGGAGCGAGGCACGGAGTGTACCTCACAGCCTTCTAGGATCTCCAGAGTGGACAGGAATCTCACTTGGAGGGACCATGGAGCAGTATACAGCAAACAGCAATAGTTCGACAGAGCAGATTGTTGTCCAGGCAGGACAGATTCAGCAGCAGCAGCAGGGTGGTGTCACTGCTGTGCAGTTGCAGACTGAGGCCCAGGTGGCATCCGCCTCAGGCCAGCAAGTCC... | [
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ENST00000374399.9 | NIPAL3 | 1 | GAATTGGGAAGGGATGAAGGAGGCTGTGCCTCCGGGTTGCACGAAGAGTCCGAGTCATTTCTCAGAAGGTTTTGATAGGTGGGCCTTAGAGGAGACGCCGCCGAGCACCGCAAGAACTGGAAAACACACCCCTCTCTGTCTGCCTGGGAGAGCCACGGAAATTGGCACTTCTCTGAGTGAAGCTGAGGAGAAGGCTGTAAATCTGCCAAAACAGCCTTGAAGTATTCTTTTGTCATGAGGAAGTGACGGCTGCTGGAGGGAGGTGAACACCACAAGGAGAGATGGCATCTGGCCTGGGCCCCGCCTAGCAGCAGCTCCAC... | [
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End of preview. Expand in Data Studio
Multitask Translational Efficiency Prediction
Overview
Understanding the rules of translational control in mammalian cells is a fundamental challenge in genomics. This dataset is from a study by Zheng et al. (2025), which created a comprehensive, transcriptome-wide atlas of translation efficiency (TE) measurements across a wide array of human and mouse cell types.
The dataset was generated by uniformly processing and quality-controlling thousands of ribosome profiling and corresponding RNA-sequencing experiments.
Data Source and Attribution
This dataset was generated by Zheng et al. (2025). When using this data, please cite the original work and data repository.
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