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### Datasets | ||
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#### Update (15-07-2021) | ||
Download links are currently unavailable, we work on restoring them as soon as possible. In the meantime, the unprocessed data (fastq) can be downloaded from ENA: https://www.ebi.ac.uk/ena/browser/view/PRJEB44348 | ||
The current data release consists of 93 files that include long read and short read RNA-Seq data from all 5 cell lines. The sample description and download links can be found [here](docs/Sample_information.txt). | ||
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As the core datasets, we have in total 72 runs for core cell lines using three different Nanopore RNA-Sequencing prototocols. | ||
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As an initial release, we are providing fastq and bam files. You can sign up for the sg-nex-updates email list to receive notifications about upcoming data releases: | ||
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https://groups.google.com/forum/#!forum/sg-nex-updates/join | ||
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Please see below for the downloading links: | ||
- fastq: [fastq](https://www.dropbox.com/sh/q098af3xdzfqc72/AAA-UhZGSvmez5pOdZIN2mpRa?dl=0) | ||
- bam: [genomeBam](https://www.dropbox.com/sh/mjzbtp31cgtxato/AACPTouVgMztbArwTP9Yt0zCa?dl=0), [transcriptomeBam](https://www.dropbox.com/sh/cuyicuormo809fx/AAA9ndo8BWvGRjaByWKvrALIa?dl=0) | ||
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Detailed information on sample ids and corresponding sample attributes can be found [here](docs/Sample_information.txt). | ||
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Notes on data usage: This site provides early access to the SG-NEx data for research. Please note that the data is under publication embargo until the SG-NEx project is published. | ||
**_Notes on data usage_**: This site provides early access to the SG-NEx data. These data can be used in research and publications, but we ask data users to refrain from publishing a systematic comparison that is described in the pre-print until the final manuscript is published. If you are uncertain, please feel free to reach out (https://github.com/GoekeLab/sg-nex-data/#contact). You can sign up for the sg-nex-updates email list to receive notifications about upcoming data releases: https://groups.google.com/forum/#!forum/sg-nex-updates/join. If you use the SG-NEx data in your research, please specify the [release version](https://github.com/GoekeLab/sg-nex-data/#data-download) and cite the pre-print (see [citation](https://github.com/GoekeLab/sg-nex-data/#citing-the-SG-NEx-project)). |
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### Use Cases and Applications: Research articles using the SG-NEx data (pre-release versions) | ||
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This site lists some examples how the SG-NEx data resource is used in research: | ||
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#### Transcript discovery/quantification | ||
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- Schulz, Laura, et al. "Direct long-read RNA sequencing identifies a subset of questionable exitrons likely arising from reverse transcription artifacts." _Genome Biology_ 22.1 (2021): 1-12. https://doi.org/10.1186/s13059-021-02411-1 | ||
- Annaldasula, Siddharth, Martyna Gajos, and Andreas Mayer. "IsoTV: processing and visualizing functional features of translated transcript isoforms." _Bioinformatics_ (2021). https://doi.org/10.1093/bioinformatics/btab103 | ||
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#### RNA modifications | ||
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- Pratanwanich, Ploy N., et al. "Identification of differential RNA modifications from nanopore direct RNA sequencing with xPore." _Nature Biotechnology_ (2021): 1-9. https://doi.org/10.1038/s41587-021-00949-w | ||
- Hendra, Christopher, et al. "Detection of m6A from direct RNA sequencing using a Multiple Instance Learning framework." _bioRxiv_ (2021). https://doi.org/10.1101/2021.09.20.461055 | ||
- Campos, João H., et al. "Direct RNA sequencing reveals SARS-CoV-2 m6A sites and possible differential DRACH motif methylation among variants." _bioRxiv_ (2021). https://doi.org/10.1101/2021.08.24.457397 | ||
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#### Fusion detection | ||
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- Davidson, Nadia M., et al. "JAFFAL: Detecting fusion genes with long read transcriptome sequencing." _bioRxiv_ (2021). https://doi.org/10.1101/2021.04.26.441398 | ||
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#### Reviews and other use cases | ||
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- De Paoli-Iseppi, Ricardo, Josie Gleeson, and Michael B. Clark. "Isoform age-splice isoform profiling using long-read technologies." Frontiers in Molecular Biosciences 8 (2021). https://doi.org/10.3389/fmolb.2021.711733 | ||
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Please feel free to add more examples by creating a pull request. |
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