How to remove Mitochondrial genes from Human annotation file (.GTF)?
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10.1 years ago
M K ▴ 660

Hi All,

I want to remove Mitochondrial genes from Human annotation file (.GTF)

next-gen-sequencing RNA-Seq R • 6.7k views
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grep -v '^ChrM' <your.gtf>
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'^ChrM'
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edited thanks, just trying to indicate that grep -v would work in this case

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10.1 years ago

If the GTF is from Ensembl:

grep -v "^MT" genes.gtf > genes_noMT.gtf
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I don't recommend doing this as it would remove lines containinghavana_transcript ID (e.g, OTTHUMT00000002421.3). Also what about genes containing MT in gene_name?

As you posted before grep -v '^chrM' should work.

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Ensemble GTF do not have 'Chr' prefix. They are simple named as 1,2,3...MT,X,Y. The symbol '^' will not find the havana_transcript as it looks for MT only at the beginning of the line.

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I tried both grep commands on ensemble annotation file release 37.75 (Homo_sapiens.GRCh37.75), and when I used wc -l to count the #of lines in gtf file, I noticed that: in the original gtf file there are 2828317 Homo_sapiens.GRCh37.75.gtf

but when I used grep -v "^MT", I found there is a decreasing of the lines# as shown below;

grep -v "^MT" Homo_sapiens.GRCh37.75.gtf > Homo_sapiens.GRCh37.75_noMT.gtf
wc -l Homo_sapiens.GRCh37.75_noMT.gtf
2828173  Homo_sapiens.GRCh37.75_noMT.gtf

While using grep -v "^ChrM", I found that line# in the original file same as when I used grep -v "^ChrM"

grep -v "^ChrM" Homo_sapiens.GRCh37.75.gtf > Homo_sapiens.GRCh37.75_noMT_M.gtf

Could any one explain that.

2828317 Homo_sapiens.GRCh37.75_noMT_M.gtf
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If you have Ensembl GTF, use grep -v "^MT". We are matching a pattern using grep and removing the lines which has those pattern. Here it depends on how the mitochondrial genes are represented. Ensemble represents them as MT, and other sources represent as ChrM. As you are using ensemble, the pattern '^ChrM' is not resulting in any matches, hence the number of lines remains same.

Read some tut to understand grep. Here is the one http://rous.mit.edu/index.php/Unix_commands_applied_to_bioinformatics#grep

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Thanks a lot Geek and Manu.

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