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The subcellular localization of mRNA reveals the temporal and spatial characteristics of gene expression. We established the DeepmRNALoc model to predict the subcellular localization of mRNA, replacing the traditional experiment which is time-consuming and expensive. DeepmRNALoc is a convolutional neural network coupled with an LSTM recurrent neural network. DeepmRNALoc has good predictive performance in the subcellular localization of eukaryotic mRNA. |
Uploading mRNA Sequence File and Performing Prediction |
Please click here to download the example sequence file in FASTA format. |
Predict a sequence for about 0.5 seconds, please be patient to wait for the page to jump. |
Tips to use DeepmRNALoc |
Input |
A user can either upload a sequence file or paste the sequence(s) in the submission page. All sequences must be in the FASTA format . To ensure that every sequence has a unique ID, we will assign an unique ID to each sequence. Special characters (including white space, dot and comma) will be removed from the sequences. However, if a sequence contains illegal letters (e.g., numbers) and non-standandred nucleotide, the sequence will not be processed. |
Output |
For each job, the first column of result table shows the mRNA ID and second column shows prediction score and last column represent the corresponding location of each sequence.
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DOWNLOAD |
Training and Independent Dataset |
March 9, 2022 |
The datasets used for the development and validation of DeepmRNALoc are available to the users for testing subcellular locations predictions. Click here |
Standalone Tool |
March 9, 2022 https://github.com/Thales-research-institute/DeepmRNALoc |
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Query and/or Suggestions
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For troubleshooting, please read the instructions given in TUTORIAL page. If you still need help, please send email to zshen1224@163.com or wshshou@163.com. |
Please Cite Us |
Wang SH, Shen ZH, et.al. DeepmRNALoc: A novel predictor of eukaryotic mRNA subcellular localization based on deep learning. http://www.peng-lab.org:8080/mRNA/ |
Latest Updates |
March 9th, 2022 This is our first release of mRNALoc V 1.0 |