v2.2-beta1 version used for the publication data of TrEMOLO (doi:10.23708/2FYBUL)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
Entire Codebook

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Document Description

Citation

Title:

v2.2-beta1 version used for the publication data of TrEMOLO

Identification Number:

doi:10.23708/2FYBUL

Distributor:

DataSuds

Date of Distribution:

2022-12-16

Version:

2

Bibliographic Citation:

SABOT, Francois; MOHAMED, Mourdas, 2022, "v2.2-beta1 version used for the publication data of TrEMOLO", https://doi.org/10.23708/2FYBUL, DataSuds, V2

Study Description

Citation

Title:

v2.2-beta1 version used for the publication data of TrEMOLO

Identification Number:

doi:10.23708/2FYBUL

Authoring Entity:

SABOT, Francois (IRD - Institut de Recherche pour le Développement)

MOHAMED, Mourdas (IRD - Institut de Recherche pour le Développement)

Distributor:

DataSuds

Access Authority:

SABOT, Francois

Depositor:

SABOT, Francois

Date of Deposit:

2022-12-16

Holdings Information:

https://doi.org/10.23708/2FYBUL

Study Scope

Keywords:

Medicine, Health and Life Sciences, Transposable elements, software

Topic Classification:

Animal and plant sciences: generalities

Abstract:

This dataset is the locked software version used for the publication of TrEMOLO. It represents the v2.2-beta1 version

Kind of Data:

software code

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

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.

Identification Number:

10.1101/2022.07.21.500944

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.

Other Study-Related Materials

Label:

README-TrEMOLO.md

Text:

All the codes used for simulating the genomes and so on

Notes:

text/markdown

Other Study-Related Materials

Label:

TrEMOLO-2.2-beta.zip

Notes:

application/zip