Full description
Supplementary files required for https://github.com/scottlallen/DserSweepsThe reference genome of D. serrata was created using long-read sequencing technology and has a length of 198 Mbp and a contig N50 of 0.94 Mbp (https://www.ncbi.nlm.nih.gov/datasets/genome/GCF_002093755.2/). We subsequently used Dovetail HiRise and Hi-C methods to scaffold those contigs and achieved a scaffold N50 of 30.3 Mb. The six largest scaffolds span 80% of the genome and reach near chromosome-arm level length except for 2L, which is spanned by two large scaffolds of 21Mb and 8.7 Mb. The genome was annotated by NCBI and lifted over to the Hi-C genome. File Descriptions:FASTA Files: drosophila_06Jul2018_A8VGg.fasta : Original Hi-C genome sequence. - drosophila_06Jul2018_A8VGg_noSpecialChar.fasta : Hi-C genome sequence with special characters removed from scaffold names.drosophila_06Jul2018_A8VGg_noSpecialChar_MASKED.fasta : Masked version of the Hi-C genome sequence. drosophila_06Jul2018_A8VGg_noSpecialChar_MASKED_shortName.fasta : Masked version of the Hi-C genome sequence with short scaffold names. - `top6.anc.fa : Hi-C genome sequence of the 6 longest scaffolds specifying the ancestral sequence. GFF Files: GCF_002093755.1_Dser1.0_genomic_OGcontigs_NOregion_HiC_liftOver_sorted.gff : NCBI Annotation file converted to Hi-C scaffolds. GCF_002093755.1_Dser1.0_genomic_OGcontigs_NOregion_HiC_liftOver_sorted_noSpecialChar.gff : Annotation file converted to Hi-C scaffolds with special characters removed from scaffold names. FAA File: GCF_002093755.1_Dser1.0_protein.faa : Protein sequences. FNA File: GCF_002093755.1_Dser1.0_rna_from_genomic.fna : Coding sequences.Issued: 23 07 2024
Subjects
Biological Sciences |
Bioinformatics and Computational Biology |
Biological Adaptation |
Deep Learning |
Evolutionary Biology |
Genetics |
Genomics and Transcriptomics |
Information and Computing Sciences |
Machine Learning |
Molecular Evolution |
Neural Networks |
Statistical and Quantitative Genetics |
eng |
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Other Information
The impacts of positive selection on genomic variation in Drosophila serrata: Insights from a deep learning approach
local : UQ:5306efe
Wang, Yiguan, Allen, Scott L., Reddiex, Adam J. and Chenoweth, Stephen F. (2024). The impacts of positive selection on genomic variation in Drosophila serrata: Insights from a deep learning approach. Molecular Ecology, 33 (18). doi: 10.1111/mec.17499
Research Data Collections
local : UQ:289097
Identifiers
- Local : RDM ID: 02979de6-e671-4d6a-895c-cc9d01e73822
- DOI : 10.48610/CE96855