five

Extensive chromosomal reshuffling drives evolution of virulence in an asexual pathogen

收藏
Figshare2016-01-18 更新2026-04-08 收录
下载链接:
https://figshare.com/articles/dataset/Extensive_chromosomal_reshuffling_drives_evolution_of_virulence_in_an_asexual_pathogen/703538/1
下载链接
链接失效反馈
官方服务:
资源简介:
Supplementary online materials belonging to the Genome Research manuscript "Extensive chromosomal reshuffling drives evolution of virulence in an asexual pathogen" by de Jonge et al. (2013). The raw sequencing data and the <em>Verticillium dahliae</em> strain JR2 assembly are deposited at the NCBI under BioProject accessions PRJNA169154 and PRJNA175765 (APFD00000000) respectively. The whole genome assembly plus annotation (proteins and repetitive elements) are deposited here at figshare. This is version 1.5 of the JR2 <em>V. dahliae</em> assembly. Protein-coding gene annotation was performed using a combinatorial approach with the EvidenceModeler, implementing (trained) ab initio gene finders Augustus, GenemarkES and GlimmerHMM, protein alignments (by AAT) and transcript alignments (by combining RNA-Seq, genome-assisted Trinity and PASA). Ultimately, gene models were improved (to add UTR and alternative splicing) by PASA again and further updated by limited manual curation. Repeatmasking was performed with the RepeatMasker using a de novo, RepeatModeler trained/generated, repeat library incorporating RECON, RepeatScout and the Tandem Repeat Finder (TRF). Gene models with alternative names depicted in the gff3 and fasta files important for the manuscript are: <em>XLOC_009059</em> - evm.TU.contig34339.15 <em>XLOC_008951</em> - evm.TU.contig1569.345 <em>Ave1</em> - evm.TU.contig45503.197 All other XLOC** gene models can be directly found. de Jonge R, Bolton MD, Kombrink A, van den Berg GCM, Yadeta KA, Thomma BPHJ. 2013. Extensive chromosomal reshuffling drives evolution of virulence in an asexual pathogen. Genome Research <em>In press</em> doi:10.1101/gr.152660.112
提供机构:
Koste Yadeta; Grardy Van Den Berg
创建时间:
2013-05-22
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作