核心区别

• Microbial & Viral Bioinformatics（微生物与病毒生物信息学）
  研究对象更广，涵盖所有类型的微生物（细菌、古菌、真菌、原生生物等）以及病毒。
• Bacterial and Viral Bioinformatics（细菌与病毒生物信息学）
  研究对象较窄，专注于细菌和病毒，不包括其他非细菌类微生物。

对比表

应用实例对比

• 微生物与病毒生物信息学

  • 实例：分析人类肠道微生物组（细菌、真菌、古菌等）与病毒群落的互作，探索其与肥胖、糖尿病或免疫系统疾病的关系。
  • 特点：关注整体微生物生态系统，强调多类生物之间的协同与平衡。

• 细菌与病毒生物信息学

  • 实例：研究医院获得性耐药细菌（如耐甲氧西林金黄色葡萄球菌，MRSA）及其与噬菌体的互作，寻找新的治疗策略。
  • 特点：聚焦病原体与临床应用，强调对疾病防控和治疗的直接价值。

总结

• Microbial & Viral Bioinformatics：范围大，适合研究多样微生物群落及其与病毒的关系。
• Bacterial and Viral Bioinformatics：范围小，专注于细菌和病毒，更聚焦临床和病原学研究。

import matplotlib.pyplot as plt
from matplotlib_venn import venn2

# Create side-by-side comparison
fig, axes = plt.subplots(1, 2, figsize=(12,6))

# --- Left: Microbial & Viral ---
venn_left = venn2(
    subsets=(1, 1, 1),
    set_labels=("Microbes", "Viruses"),
    ax=axes[0],
    set_colors=("skyblue", "lightcoral"),  # 微生物用蓝色，病毒用红色
    alpha=0.6
)
venn_left.get_label_by_id('10').set_text('Bacteria, Archaea,\nFungi, Protists')
venn_left.get_label_by_id('01').set_text('Viruses')
venn_left.get_label_by_id('11').set_text('Microbe-Virus\ninteractions')
axes[0].set_title("Microbial & Viral Bioinformatics")

# --- Right: Bacterial & Viral ---
venn_right = venn2(
    subsets=(1, 1, 1),
    set_labels=("Bacteria", "Viruses"),
    ax=axes[1],
    set_colors=("lightgreen", "lightcoral"),  # 细菌用绿色，病毒用红色
    alpha=0.6
)
venn_right.get_label_by_id('10').set_text('Bacteria\n(pathogens, commensals)')
venn_right.get_label_by_id('01').set_text('Viruses\n(phages, human viruses)')
venn_right.get_label_by_id('11').set_text('Bacteria-Virus\ninteractions')
axes[1].set_title("Bacterial & Viral Bioinformatics")

# Add a caption below the plots
fig.text(
    0.5, -0.05,
    "Comparison: Microbial & Viral Bioinformatics covers all microbes (bacteria, archaea, fungi, protists) plus viruses,\n"
    "while Bacterial & Viral Bioinformatics is narrower, focusing only on bacteria and viruses.",
    ha='center', fontsize=10
)

plt.tight_layout()
plt.show()

import matplotlib.pyplot as plt

fig, ax = plt.subplots(figsize=(6,6))

# 大圆 - Microbial
microbe_circle = plt.Circle((0,0), 1.0, color="skyblue", alpha=0.4, label="Microbes")
ax.add_artist(microbe_circle)

# 小圆 - Bacteria (在Microbial里)
bacteria_circle = plt.Circle((0.3,0.3), 0.4, color="lightgreen", alpha=0.6, label="Bacteria")
ax.add_artist(bacteria_circle)

# 另一个圆 - Viruses
virus_circle = plt.Circle((-0.2,-0.2), 0.6, color="lightcoral", alpha=0.6, label="Viruses")
ax.add_artist(virus_circle)

# 设置比例 & 美化
ax.set_xlim(-1.5, 1.5)
ax.set_ylim(-1.5, 1.5)
ax.set_aspect("equal")
ax.axis("off")

# 添加标签
ax.text(-0.9, 1.0, "Microbes\n(bacteria, archaea, fungi, protists)", fontsize=10, color="blue")
ax.text(0.4, 0.6, "Bacteria", fontsize=10, color="green")
ax.text(-0.9, -0.8, "Viruses", fontsize=10, color="red")

plt.title("Nested Scope: Microbes vs Bacteria with Viruses", fontsize=12)
plt.show()