Table · dataset · 2026
<b>木材性质变异的遗传基础</b>
Listed in figshare
Description
<p dir="ltr">phenotypes.xlsx:共有10个指标,主要用于组间方差分析(ANOVA),每个记录有3个重复</p><p dir="ltr">xpclr:通过使用xpclr v1.0分析获得的结果</p><p dir="ltr">combined_sift_results_FINAL_UNCOMPRESSED_SIFTannotations:Sift4G注释数据的风险分析<br></p><p dir="ltr">anova_results_summary:10变量组间方差分析(ANOVA)</p><p dir="ltr">文章中的L1–L13对应数据集中的L1、L14、L15、L14、L18、L19、L7、L8、L9、L22、L11、L23和L13。</p><p dir="ltr">PLINK v1.9:用于SNP质量控制和种群结构分析。IQ-TREE v2.3.6:用于构建最大似然系统发育树,进一步阐明13个群体之间的系统发生关系,并结合PCA结果,识别出SWP和CWP两个亚群。ModelFinder:作为IQ-TREE的补充模块,用于自动选择树构建中最优核苷酸替代模型。XP-CLR:本研究旨在进行全基因组扫描分析,比较上等木材属性组与普通木材属性组之间的差异,旨在识别基因组中受选择影响的区域。最终,确定了候选人遴选地区中排名前5%的地区。SIFT4G_Create_Genomic_DB:建立基于霍金梭菌参考基因组和蛋白质序列的物种特异性SIFT数据库,为后续有害非同义突变预测做准备。SIFT4G:为评估XP-CLR候选窗口内非同义SNP对蛋白质结构和功能的潜在影响,SIFT<评分为0.05的变异被定义为有害变体,并通过选择信号交叉筛查这些变异识别核心候选基因。FuzDrop:评估Ch07G001665蛋白的液相分离趋势,并确定其是否具有强的LLPS势。TargetP 2.0:用于进一步预测PPR1和PPR4的N端运输肽和细胞器靶向信号,帮助判断它们是叶绿体蛋白还是线粒/质粒相关蛋白。DeepLoc 2.1:用于预测候选蛋白在亚细胞中的定位。AlphaFold3:利用PAE矩阵预测Ch07G001665蛋白的三维结构并评估局部结构特征。IUPred3:预测候选基因Ch07G001665编码的蛋白质内在无序区域,并判断其是否表现出典型的IDP特征。</p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.32098903.v7 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
Provenance · 3 source records, 16 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| HKU DataHub · removed upstream | oai:figshare.com:article/32098903 | 13 d ago | JSON v1 |
| figshare | oai:figshare.com:article/32098903 | 13 d ago | JSON v1 |
| Loughborough Research Repository · removed upstream | oai:figshare.com:article/32098903 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| description | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/description |
| license | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/rights |
| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |