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Aligned Long-Read Murine Samples: Part 19
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 17
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 16
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 13
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 12
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 11
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 14
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 24
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 15
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 10
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 9
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 8
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 4
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 3
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 1
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 7
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 6
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 2
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 5
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Idiosyncratic choice bias and feedback-induced bias differ in their long-term dynamics
<p>Overview<br>-------------------<br>This repository is associated with the paper "Idiosyncratic choice bias and feedback-induced bias differ in their long-term dynamics".</p> <p>All data and analyses required to reproduce our results are available in the stabilityFeedback folder.</p> <p>Data<br>-------------------<br>Response data and inter-session-delays are stored as sorted tables ("sortedTable_") and assign tables ("assignTable_"), respectively, by experiments (stabilityFeedback/stability folder and stabilityFeedback/feedback folder) and delay groups: <br>"stabilityFeedback/[EXPERIMENT_NAME]/[TABLES_TYPE]/[TABLE_TYPE]_[EXPERIMENT_NAME]_[DELAY_NAME].csv"</p> <p>Analysis<br>-------------------<br>The code required to reproduce all analyses and related figures is available in the stabilityFeedback/stabilityFeedbackICB.mlx MATLAB (R2023b) Live Editor file (also available as stabilityFeedbackICB.pdf).</p> <p>All figures are saved in the stabilityFeedback/figures folder in both MATLAB FIG and PDF formats. File names for the vertical task match those used in the paper, while file names for the horizontal task include " - appendix." at the end.</p> <p>For Binomial tests, we use the myBinomTest custom function, reference: Matthew Nelson (2015). https://www.mathworks.com/matlabcentral/fileexchange/24813-mybinomtest-s-n-p-sided MATLAB Central File Exchange. Retrieved February 9, 2016.</p> <p>Cite<br>-------------------<br>If you use code from this repository, please cite it using the Zenodo DOI: 10.5281/zenodo.13388598</p> <p>Contributors<br>-------------------<br>This code was authored by Lior Lebovich, 2024.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.