【发布时间】:2018-11-19 23:36:23
【问题描述】:
我必须从给定的 gtf 文件中仅获取 ENSEMBLE 非染色体假基因 为每个带注释的假基因添加附加属性字段“过滤”,其值为“手动”,并另存为新文件。所以我必须通过包含“ENSEMBLY”“pseudogenes”而不包含“Chr”来过滤给定的文件,将其保存在新文件中并添加到最后一列附加属性(手动过滤)。您能告诉我如何最好使用 awk 或 sed 来做到这一点吗?
##description: evidence-based annotation of the human genome (GRCh38), version 29 (Ensembl 94)
##provider: GENCODE
##contact: gencode-help@ebi.ac.uk
##format: gtf
##date: 2018-08-30
chr1 HAVANA gene 11869 14409 . + . gene_id "ENSG00000223972.5"; gene_type "transcribed_unprocessed_pseudogene"; gene_name "DDX11L1"; level 2; havana_gene "OTTHUMG00000000961.2";
chr1 HAVANA transcript 11869 14409 . + . gene_id "ENSG00000223972.5"; transcript_id "ENST00000456328.2"; gene_type "transcribed_unprocessed_pseudogene"; gene_name "DDX11L1"; transcript_type "processed_transcript"; transcript_name
"DDX11L1-202"; level 2; transcript_support_level "1"; tag "basic"; havana_gene "OTTHUMG00000000961.2"; havana_transcript "OTTHUMT00000362751.1";
chr1 HAVANA exon 11869 12227 . + . gene_id "ENSG00000223972.5"; transcript_id "ENST00000456328.2"; gene_type "transcribed_unprocessed_pseudogene"; gene_name "DDX11L1"; transcript_type "processed_transcript"; transcript_name "DDX11L1
-202"; exon_number 1; exon_id "ENSE00002234944.1"; level 2; transcript_support_level "1"; tag "basic"; havana_gene "OTTHUMG00000000961.2"; havana_transcript "OTTHUMT00000362751.1";
chr1 HAVANA exon 12613 12721 . + . gene_id "ENSG00000223972.5"; transcript_id "ENST00000456328.2"; gene_type "transcribed_unprocessed_pseudogene"; gene_name "DDX11L1"; transcript_type "processed_transcript"; transcript_name "DDX11L1
-202"; exon_number 2; exon_id "ENSE00003582793.1"; level 2; transcript_support_level "1"; tag "basic"; havana_gene "OTTHUMG00000000961.2"; havana_transcript "OTTHUMT00000362751.1";
chr1 HAVANA exon 13221 14409 . + . gene_id "ENSG00000223972.5"; transcript_id "ENST00000456328.2"; gene_type "transcribed_unprocessed_pseudogene"; gene_name "DDX11L1"; transcript_type "processed_transcript"; transcript_name "DDX11L1
-202"; exon_number 3; exon_id "ENSE00002312635.1"; level 2; transcript_support_level "1"; tag "basic"; havana_gene "OTTHUMG00000000961.2"; havana_transcript "OTTHUMT00000362751.1";
chr1 HAVANA transcript 12010 13670 . + . gene_id "ENSG00000223972.5"; transcript_id "ENST00000450305.2"; gene_type "transcribed_unprocessed_pseudogene"; gene_name "DDX11L1"; transcript_type "transcribed_unprocessed_pseudogene"; tr
anscript_name "DDX11L1-201"; level 2; transcript_support_level "NA"; ont "PGO:0000005"; ont "PGO:0000019"; tag "basic"; havana_gene "OTTHUMG00000000961.2"; havana_transcript "OTTHUMT00000002844.2";
chr1 HAVANA exon 12010 12057 . + . gene_id "ENSG00000223972.5"; transcript_id "ENST00000450305.2"; gene_type "transcribed_unprocessed_pseudogene"; gene_name "DDX11L1"; transcript_type "transcribed_unprocessed_pseudogene"; transcript
_name "DDX11L1-201"; exon_number 1; exon_id "ENSE00001948541.1"; level 2; transcript_support_level "NA"; ont "PGO:0000005"; ont "PGO:0000019"; tag "basic"; havana_gene "OTTHUMG00000000961.2"; havana_transcript "OTTHUMT00000002844.2";
chr1 HAVANA exon 12179 12227 . + . gene_id "ENSG00000223972.5"; transcript_id "ENST00000450305.2"; gene_type "transcribed_unprocessed_pseudogene"; gene_name "DDX11L1"; transcript_type "transcribed_unprocessed_pseudogene"; transcript
_name "DDX11L1-201"; exon_number 2; exon_id "ENSE00001671638.2"; level 2; transcript_support_level "NA"; ont "PGO:0000005"; ont "PGO:0000019"; tag "basic"; havana_gene "OTTHUMG00000000961.2"; havana_transcript "OTTHUMT00000002844.2";
chr1 HAVANA exon 12613 12697 . + . gene_id "ENSG00000223972.5"; transcript_id "ENST00000450305.2"; gene_type "transcribed_unprocessed_pseudogene"; gene_name "DDX11L1"; transcript_type "transcribed_unp
【问题讨论】:
-
你已经尝试了什么?
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预期输出是什么?
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示例中的哪几行描述了
ENSEMBLE non-chromosomal pseudogene?为什么(相关字符串是什么)? -
这是匹配模式的行:ENSEMBL exon 169224 169502 。 - 。基因ID“ENSG00000284215.2”;成绩单ID“ENST00000639764.2”;基因类型“假基因”;基因名称“AC245056.4”;转录类型“假基因”;成绩单名称“AC245056.4-201”;外显子编号 2; exon_id "ENSE00003804365.1"; 3级;标签“基本”;过滤:手动;
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实际上我已经做到了,但也许只使用 awk 有更好的解决方案?
标签: regex bash awk sed bioinformatics