BackgroundThe classical candidate-gene approach has failed to identify novel breast cancer susceptibility genes. Nowadays, massive parallel sequencing technology allows the development of studies unaf

NIAID Data Ecosystem30

MOESM1 of Natural and pathogenic protein sequence variation affecting prion-like domains within and across human proteomes

序列变异分析

朊病毒样结构域功能预测

Additional file 1. PAPA scores derived from random sampling of sequence variant combinations for proteins with high-scoring PrLDs. For all proteins with a moderately high-scoring PrLD (PAPA>â€‰0.0) an

NIAID Data Ecosystem40

Next Generation Sequencing Studies on the HVR1 Region of Pakistani Isolates of Hepatitis C Virus

肝炎病毒测序

序列变异分析

This project is aimed to evaluate the sequence variations of Hypervariable Region 1 (HVR1) of Hepatitis C virus isolates which were sampled from non-high risk HCV-infected population of Pakistan. Vari

NIAID Data Ecosystem30

Mapping of LP/P paralogue variants on human TRPM4 sequence.

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