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Part 1: Document Description
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Citation |
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Title: |
Replication data for simulated reads for S1, S2 and S3 genomes for the TrEMOLO paper |
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Identification Number: |
doi:10.23708/N447VS |
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Distributor: |
DataSuds |
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Date of Distribution: |
2022-12-19 |
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Version: |
1 |
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Bibliographic Citation: |
SABOT, Francois; MOHAMED, Mourdas, 2022, "Replication data for simulated reads for S1, S2 and S3 genomes for the TrEMOLO paper", https://doi.org/10.23708/N447VS, DataSuds, V1 |
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Citation |
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Title: |
Replication data for simulated reads for S1, S2 and S3 genomes for the TrEMOLO paper |
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Identification Number: |
doi:10.23708/N447VS |
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Authoring Entity: |
SABOT, Francois (IRD - Institut de Recherche pour le Développement) |
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MOHAMED, Mourdas (Institut de Génétique Humaine - CNRS) |
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Distributor: |
DataSuds |
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Access Authority: |
SABOT, Francois |
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Depositor: |
SABOT, Francois |
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Date of Deposit: |
2022-12-19 |
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Holdings Information: |
https://doi.org/10.23708/N447VS |
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Study Scope |
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Keywords: |
Medicine, Health and Life Sciences |
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Topic Classification: |
Animal and plant sciences: generalities |
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Abstract: |
This dataset contains the simulated reads used to validate TrEMOLO. The reads were created using DeeepSimulator v1.5 (https://github.com/liyu95/DeepSimulator/releases/tag/v1.5) using the options -B 2 -K n -l 20000. |
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Kind of Data: |
Process-produced data |
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Notes: |
This dataset is only the description, the reads are stored here: https://zenodo.org/record/7673915 The DOI for the data set only is 10.5281/zenodo.7673915 |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Mourdas, M. et al. (2022) « TrEMOLO: Accurate transposable element allele frequency estimation using long-read sequencing data combining assembly and mapping-based approaches ». Cold Spring Harbor Laboratory. Disponible sur: https://doi.org/10.1101/2022.07.21.500944. |
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Identification Number: |
10.1101/2022.07.21.500944 |
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Bibliographic Citation: |
Mourdas, M. et al. (2022) « TrEMOLO: Accurate transposable element allele frequency estimation using long-read sequencing data combining assembly and mapping-based approaches ». Cold Spring Harbor Laboratory. Disponible sur: https://doi.org/10.1101/2022.07.21.500944. |