Jaswinder Singh

Employment

• Griffith University Bioinformatics Researcher
  2022 - Present

Education

• Griffith University Doctor of Philosophy
  2019 - 2022
• Griffith University Master of Philosophy
  2018 - 2019
• Griffith University Master of Electronic and Computer Engineering/Master of Electronic and Energy Engineering
  2016 - 2017
• Beant College of Engineering and Technology B-Tech in Electronics and Communication Engineering
  2011 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• MARS and RNAcmap3: The Master Database of All Possible RNA Sequences Integrated with RNAcmap for RNA Homology Search
  Genomics, Proteomics & Bioinformatics 2024 DOI: 10.1093/gpbjnl/qzae018
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• The Master Database of All Possible RNA Sequences and Its Integration with RNAcmap for RNA Homology Search
  2023 DOI: 10.1101/2023.02.01.526559
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• Improved RNA homology detection and alignment by automatic iterative search in an expanded database
  2022 DOI: 10.1101/2022.10.03.510702
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• Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational coupling
  Bioinformatics 2022 DOI: 10.1093/bioinformatics/btac421
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• Probing RNA structures and functions by solvent accessibility: an overview from experimental and computational perspectives
  Briefings in Bioinformatics 2022 DOI: 10.1093/bib/bbac112
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• SPOT-Contact-LM: improving single-sequence-based prediction of protein contact map using a transformer language model
  Bioinformatics 2022 DOI: 10.1093/bioinformatics/btac053
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• Improved RNA secondary structure and tertiary base-pairing prediction using evolutionary profile, mutational coupling and two-dimensional transfer learning
  Bioinformatics 2021 DOI: 10.1093/bioinformatics/btab165
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• Single-sequence and profile-based prediction of RNA solvent accessibility using dilated convolutional neural network
  Bioinformatics 2021 DOI: 10.1093/bioinformatics/btaa652
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• RNAcmap: A Fully Automatic Pipeline for Predicting Contact Maps of RNAs by Evolutionary Coupling Analysis.
  Bioinformatics (Oxford, England) 2021 DOI: 10.1093/bioinformatics/btab391
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• SPOT-Contact-Single: Improving Single-Sequence-Based Prediction of Protein Contact Map using a Transformer Language Model
  2021 DOI: 10.1101/2021.06.19.449089
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