我的输入注解文件是这样的
GEO_ID Title Platform Description Group Sample_Name
GSM344422 Healthy-8 GPL20301 human Leukocytes_2016-06-01 Leukocytes_at_gestational_age_of_18-23wk_from_healthy_fetal_hearts Healthy
GSM3444233 R-A7 GPL20301 human Leukocytes_2018-06-04 Leukocytes_at_gestational_age_of_18-23wk_from_healthy_fetal_hearts Healthy
GSM344434 R2-FITC GPL20301 human Leukocytes_2018-06-04 Leukocytes_at_gestational_age_of_18-23wk_from_healthy_fetal_hearts Healthy
GSM3444235 CHB-4 GPL20301 human Leukocytes_2016-06-01 Leukocytes_at_gestational_age_of_19-23wk_from_fetal_hearts_with_congenital_heart_block_(CHB) Heartblock
GSM344236 CHB_Luekocytes GPL20301 human Leukocytes_2017-11-22 Leukocytes_at_gestational_age_of_19-23wk_from_fetal_hearts_with_congenital_heart_block_(CHB) Heartblock
GSM344237 CHB-F GPL20301 human Leukocytes_2018-06-04 Leukocytes_at_gestational_age_of_19-23wk_from_fetal_hearts_with_congenital_heart_block_(CHB) Heartblock
----- ----- ----- ----- -----
Comparison Trat Ctrl Title Paired Tags
1 Leukocytes_at_gestational_age_of_19-23wk_from_fetal_hearts_with_congenital_heart_block_(CHB) Leukocytes_at_gestational_age_of_18-23wk_from_healthy_fetal_hearts Leukocytes from fetal hearts with congenital heart block _vs_ healthy FALSE Primary cells|Leukocytes|Heart|Fetus|Disease vs. normal|Congenital heart block我的最终输出文件小子集看起来像这样，它是在多个样本比较之间的分析步骤后生成的。
Bioset summary = Neurons_from_dentate_gyrus_of_11wk_old_female_mice_housed_in_enriched_conditions vs. Early_progenitor_cells_(NSPCs)_from_dentate_gyrus_of_11wk_old_female_mice_housed_in_enriched_conditions
Data pre-processing = FASTQ files were downloaded from Sequence Read Archive (SRA). No other preprocessing was performed.
Analysis summary = Reads are aligned to mm10 using Dragen RNA 3.9.5. The differential methylation calling is done by methylKit R package using following parameters: qvalue - 0.01 and methylation difference (%) - 10
Test samples = Neurons_from_dentate_gyrus_of_11wk_old_female_mice_housed_in_enriched_conditions(total replicates = 5)
Control samples = Early_progenitor_cells_(NSPCs)_from_dentate_gyrus_of_11wk_old_female_mice_housed_in_enriched_conditions(total replicates = 5)
chromosome start stop % differential p-Value q-Value
2 98662301 98663300 11.4222829122048 0 0
2 98662401 98663400 13.6033864634586 0 0我需要的是，在我的最终输出中，注解文件的Tag列中的任何内容都应该被附加到最终文件中。
因此，我希望这是通用的，这意味着它应该总是根据输入注解选择**Tag**列。
Bioset summary = Neurons_from_dentate_gyrus_of_11wk_old_female_mice_housed_in_enriched_conditions vs. Early_progenitor_cells_(NSPCs)_from_dentate_gyrus_of_11wk_old_female_mice_housed_in_enriched_conditions
Data pre-processing = FASTQ files were downloaded from Sequence Read Archive (SRA). No other preprocessing was performed.
Analysis summary = Reads are aligned to mm10 using Dragen RNA 3.9.5. The differential methylation calling is done by methylKit R package using following parameters: qvalue - 0.01 and methylation difference (%) - 10
Test samples = Neurons_from_dentate_gyrus_of_11wk_old_female_mice_housed_in_enriched_conditions(total replicates = 5)
Control samples = Early_progenitor_cells_(NSPCs)_from_dentate_gyrus_of_11wk_old_female_mice_housed_in_enriched_conditions(total replicates = 5)
Tags:Primary cells|Leukocytes|Heart|Fetus|Disease vs. normal|Congenital heart block
chromosome start stop % differential p-Value q-Value
2 98662301 98663300 11.4222829122048 0 0
2 98662401 98663400 13.6033864634586 0 0有什么建议或帮助吗？
1条答案
按热度按时间ev7lccsx1#
如果第一个代码块作为名为
dat的 Dataframe 输入，第二个代码块作为名为inp的字符向量输入，那么这将产生所需的结果：没有“Tag”列 * 本身 *。具有值“Tag”和标记值的列名是“Sample_Name”。如果您不需要行号，请使用
cat或print并使用适当的参数将其显示到控制台。行号实际上并不存在于结果对象中。