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资源简介：
The dataset used for generating the SVLearn models
应用场景：
创建时间：
2024-08-13
相关数据集
MOESM1 of Structural variant calling: the long and the short of it
Additional file 1: Table S1.
NIAID Data Ecosystem140
Sniffles SV call set for HC1-N and HC1-T
PacBio CLR reads were mapped to the HC1-N genome using NGMLR under default settings. SV calling was performed using Sniffles with minimum support at 2 (-s) and minimum length at 30 (-l). We filtered t
NIAID Data Ecosystem90
Summary of all DNA sequence rearrangements identified.
The table shows for each sample the number of read pairs in unusual configuration indicating putative DNA sequence rearrangements. Dashes (-) indicate that no read pairs supported a sequence rearrange
NIAID Data Ecosystem70
Escherichia coli Long-term Evolution Experiment 500 and 1000 Generation Population Sequencing. Escherichia coli REL606
New mutations leading to structural variation (SV) in genomes — in the form of mobile element insertions, large deletions, gene duplications, and other chromosomal rearrangements — can play a key role
NIAID Data Ecosystem100
Detection of copy number variations in rice using array-based comparative genomic hybridization
Copy number variations (CNVs) can create new genes, change gene dosage, reshape gene structures, and modify elements regulating gene expression. As with all types of genetic variation, CNVs may influe
NIAID Data Ecosystem90
