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资源简介：
genome sequencing
应用场景：
创建时间：
2024-08-03
相关数据集
GraphFLA
GraphFLA是一个Python框架，用于构建和分析来自突变数据的不同模态（例如，DNA、RNA、蛋白质等）中的适应性景观。GraphFLA计算了20个生物学相关的特征，这些特征表征了景观地形学的4个基本方面。通过将GraphFLA应用于来自ProteinGym、RNAGym和CIS-BP的超过5,300个景观，我们展示了其在解释和比较数十个适应性预测模型性能方面的实用性。此外，我们发布了155
arXiv2025-10-28 更新190
Collateral mutations induced by translesion DNA synthesis
Supplementary data files containing aligned sequencing reads
NIAID Data Ecosystem60
Genomic Sequencing of Head and Neck Cancer. Homo sapiens
This study was the first-known large-scale effort to uncover the mutational spectrum of head and neck cancers. We analyzed whole-exome sequence from 92 tumor-normal pairs and retained 74 of them for s
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Haloferax volcanii DS2 Raw sequence reads
Mutation accumulation lines for estimating genomic mutation rate and spectrum
NIAID Data Ecosystem60
Databases analyzed in this work.
Mutational processes and their exposures in particular genomes are key to our understanding of how these genomes are shaped. However, current analyses assume that these processes are uniformly active
NIAID Data Ecosystem50
