vanOverbeek-processed-indel-data

NIAID Data Ecosystem2026-03-10 收录

基因组预测

CRISPR-Cas9indel分析

数据链接：

https://figshare.com/articles/dataset/vanOverbeek-processed-indel-data/6838016 数据链接链接失效反馈

官方服务：

资源简介：

https://www.ncbi.nlm.nih.gov/pubmed/27499295 This folder contains processed data of indels reported by van Overbeek for the inDelphi work, using code from https://github.com/maxwshen/indelphi-dataprocessinganalysis.

创建时间：

2018-08-29

Supplementary Material to "Modelling missing pedigree with metafounders and validating single-step genomic predictions in a small dairy cattle population with a great influence of foreign genetics"

乳牛遗传

基因组预测

Supplementary Material to "Modelling missing pedigree with metafounders and validating single-step genomic predictions in a small dairy cattle population with a great influence of foreign genetics"

Mendeley Data2024-03-27 更新100

Table_4_Detecting the QTL-Allele System of Seed Oil Traits Using Multi-Locus Genome-Wide Association Analysis for Population Characterization and Optimal Cross Prediction in Soybean.XLSX

大豆油品质QTL定位

基因组预测

Soybean is one of the world's major vegetative oil sources, while oleic acid and linolenic acid content are the major quality traits of soybean oil. The restricted two-stage multi-locus genome-wide as

NIAID Data Ecosystem30

Phenotypic drought stress prediction of European beech (Fagus sylvatica) by genomic prediction and remote sensing

林木胁迫响应

基因组预测

Current climate change species response models usually do not include evolution. We integrated remote sensing with population genomics to improve phenotypic response prediction to drought stress in th

NIAID Data Ecosystem00

Additional file 2: of RhoTermPredict: an algorithm for predicting Rho-dependent transcription terminators based on Escherichia coli, Bacillus subtilis and Salmonella enterica databases

基因组预测

转录终止子

Informations about whole genome predictions by RhoTermPredict from E. coli K-12. (TXT 20868 kb)

DataCite Commons2020-08-27 更新60

Table_1_Integrating Gene Expression Data Into Genomic Prediction.pdf

基因组预测

基因融合表达

Gene expression profiles potentially hold valuable information for the prediction of breeding values and phenotypes. In this study, the utility of transcriptome data for phenotype prediction was teste

NIAID Data Ecosystem10

vanOverbeek-processed-indel-data

资源简介：

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