Identify non-coding regions from a genome annotationHow to calculate overlapping genes between two genome...
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Identify non-coding regions from a genome annotation
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Identify non-coding regions from a genome annotation
How to calculate overlapping genes between two genome annotation versionsWhy do BLASTn and prokka not seem to be searching the whole fasta file?Same transcript coordinates in gtf file, different transcript IDhg38 GTF file with RefSeq annotationsHow can I calculate gene_length for RPKM calculation from counts data?dividing genome into non-overlapping windows using RIn the gff3 format, could one eukaryotic mRNA contain more than one protein coding gene (i.e. polycistronic)?RNA seq fasta file annotation from alignment to reference matchesRATT works on example bacterial sequence and other bacterial genome but not on C. elegans genome and annotationDerive a GTF containing protein coding genes from a GTF file with Exons and CDS
$begingroup$
I have this GTF file and I use the command below on a Linux machine to extract the coding regions of the genome:
awk '{if($3=="transcript" && $20==""protein_coding";"){print $0}}' gencode.gtf
How I could do the inverse and keep only non coding regions?
annotation genome gtf text-processing interval
$endgroup$
add a comment |
$begingroup$
I have this GTF file and I use the command below on a Linux machine to extract the coding regions of the genome:
awk '{if($3=="transcript" && $20==""protein_coding";"){print $0}}' gencode.gtf
How I could do the inverse and keep only non coding regions?
annotation genome gtf text-processing interval
$endgroup$
$begingroup$
Do you want all non-coding regions of the genome or do you want all non-coding transcripts? These are two very different things.
$endgroup$
– terdon♦
1 hour ago
add a comment |
$begingroup$
I have this GTF file and I use the command below on a Linux machine to extract the coding regions of the genome:
awk '{if($3=="transcript" && $20==""protein_coding";"){print $0}}' gencode.gtf
How I could do the inverse and keep only non coding regions?
annotation genome gtf text-processing interval
$endgroup$
I have this GTF file and I use the command below on a Linux machine to extract the coding regions of the genome:
awk '{if($3=="transcript" && $20==""protein_coding";"){print $0}}' gencode.gtf
How I could do the inverse and keep only non coding regions?
annotation genome gtf text-processing interval
annotation genome gtf text-processing interval
edited 20 mins ago
Daniel Standage
2,303329
2,303329
asked 7 hours ago
Feresh TehFeresh Teh
39111
39111
$begingroup$
Do you want all non-coding regions of the genome or do you want all non-coding transcripts? These are two very different things.
$endgroup$
– terdon♦
1 hour ago
add a comment |
$begingroup$
Do you want all non-coding regions of the genome or do you want all non-coding transcripts? These are two very different things.
$endgroup$
– terdon♦
1 hour ago
$begingroup$
Do you want all non-coding regions of the genome or do you want all non-coding transcripts? These are two very different things.
$endgroup$
– terdon♦
1 hour ago
$begingroup$
Do you want all non-coding regions of the genome or do you want all non-coding transcripts? These are two very different things.
$endgroup$
– terdon♦
1 hour ago
add a comment |
3 Answers
3
active
oldest
votes
$begingroup$
Getting the non coding regions of a protein coding transcript, sounds like you are looking for UTR.
UTR
has its own feature in the gtf file. So you can do this:
$ awk -v FS="t" '$3=="UTR"' gencode.gtf
If the gtf file is compressed use this instead:
$ zcat gencode.gtf.gz | awk -v FS="t" '$3=="UTR"'
BTW: Why are you using such an old release of gencode? The current version is v29.
$endgroup$
$begingroup$
Sorry, literally I need non coding regions of human genome, but for asking my question here I referred to coding parts too
$endgroup$
– Feresh Teh
6 hours ago
$begingroup$
Sorry I tried hat but my output is empty
$endgroup$
– Feresh Teh
6 hours ago
1
$begingroup$
As @Wouter tells you, the non coding region of a genome is the complement of the coding regions. Coding regions have its own feature in the gtf file. You can get them with$ awk -v FS="t" '$3=="CDS"' gencode.gtf
. Reading the manual for bedtools complement is your task.
$endgroup$
– finswimmer
6 hours ago
$begingroup$
Sorry but your commands return nothing, I mean not working returning empty file
$endgroup$
– Feresh Teh
1 hour ago
$begingroup$
The gtf file the OP has linked to includes non-coding transcripts (LINCs, pseudogenes, tRNAs etc). I am guessing this is what they're after.
$endgroup$
– terdon♦
49 mins ago
|
show 1 more comment
$begingroup$
This isn't a problem that's easily solved with awk. It's not like you're extracting a feature that's annotated in the GTF file. Instead, you want the empty space between annotated features.
A few years ago I wrote a program called LocusPocus for a similar task. It uses a gene annotation to break down a genome into gene loci and intergenic regions. It handles overlapping annotations and other weirdness pretty robustly. The output will include both coding regions and non-coding regions, but you can identify the intergenic spaces as those with iLocus_type
equal to iiLocus
or fiLocus
.
Note: the --delta
parameter will extend each gene/transcript by 500bp by default.
Caveat: the program only accepts GFF3 input by default. Hopefully it won't be too hard to convert your GTF to GFF3.
Another caveat: eventual interpretation of these data will depend on what features are annotated in the genome and which annotations you include vs ignore. Do you want your non-coding regions to include non-coding genes, or should these be treated separately? Some non-coding regions will be full of transposable elements and other repetitive DNA, while others will have enhancers, promoters, or other regulatory elements. It's important to tread carefully before you jump to any conclusions.
$endgroup$
add a comment |
$begingroup$
If you want all transcripts from that gtf file whose type isn't "protein coding", you can use almost the same command, just change the ==
("is") to !=
("isn't"):
awk '{if($3=="transcript" && $20!=""protein_coding";"){print $0}}' gencode.gtf
Or, a simpler version:
awk '$3=="transcript" && $20!=""protein_coding";"' gencode.gtf
Note that this will not include any of the havana transcripts in the file, but I am assuming that's what you want since that's what your original command did.
Specifically, the command will return the following types of transcript (the numbers on the left are the number of such transcripts in the file):
awk '$3=="transcript" && $20!=""protein_coding";"{print $20}' gencode.gtf | sort | uniq -c | sort -nk1
1 "translated_processed_pseudogene";
2 "Mt_rRNA";
3 "IG_J_pseudogene";
3 "TR_D_gene";
4 "TR_J_pseudogene";
5 "TR_C_gene";
10 "IG_C_pseudogene";
18 "IG_C_gene";
18 "IG_J_gene";
22 "Mt_tRNA";
25 "3prime_overlapping_ncrna";
27 "TR_V_pseudogene";
37 "IG_D_gene";
58 "non_stop_decay";
59 "polymorphic_pseudogene";
74 "TR_J_gene";
97 "TR_V_gene";
144 "IG_V_gene";
182 "unitary_pseudogene";
196 "IG_V_pseudogene";
330 "sense_overlapping";
387 "pseudogene";
442 "transcribed_processed_pseudogene";
531 "rRNA";
802 "sense_intronic";
860 "transcribed_unprocessed_pseudogene";
1529 "snoRNA";
1923 "snRNA";
2050 "misc_RNA";
2549 "unprocessed_pseudogene";
3116 "miRNA";
9710 "antisense";
10623 "processed_pseudogene";
11780 "lincRNA";
13052 "nonsense_mediated_decay";
25955 "retained_intron";
28082 "processed_transcript";
You might also want to remove that "translated_processed_pseudogene" since that is actually translated into protein and is therefore technically coding:
awk '$3=="transcript" &&
$20!=""protein_coding";" &&
$20!=""translated_processed_pseudogene";"' gencode.gtf
$endgroup$
add a comment |
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
Getting the non coding regions of a protein coding transcript, sounds like you are looking for UTR.
UTR
has its own feature in the gtf file. So you can do this:
$ awk -v FS="t" '$3=="UTR"' gencode.gtf
If the gtf file is compressed use this instead:
$ zcat gencode.gtf.gz | awk -v FS="t" '$3=="UTR"'
BTW: Why are you using such an old release of gencode? The current version is v29.
$endgroup$
$begingroup$
Sorry, literally I need non coding regions of human genome, but for asking my question here I referred to coding parts too
$endgroup$
– Feresh Teh
6 hours ago
$begingroup$
Sorry I tried hat but my output is empty
$endgroup$
– Feresh Teh
6 hours ago
1
$begingroup$
As @Wouter tells you, the non coding region of a genome is the complement of the coding regions. Coding regions have its own feature in the gtf file. You can get them with$ awk -v FS="t" '$3=="CDS"' gencode.gtf
. Reading the manual for bedtools complement is your task.
$endgroup$
– finswimmer
6 hours ago
$begingroup$
Sorry but your commands return nothing, I mean not working returning empty file
$endgroup$
– Feresh Teh
1 hour ago
$begingroup$
The gtf file the OP has linked to includes non-coding transcripts (LINCs, pseudogenes, tRNAs etc). I am guessing this is what they're after.
$endgroup$
– terdon♦
49 mins ago
|
show 1 more comment
$begingroup$
Getting the non coding regions of a protein coding transcript, sounds like you are looking for UTR.
UTR
has its own feature in the gtf file. So you can do this:
$ awk -v FS="t" '$3=="UTR"' gencode.gtf
If the gtf file is compressed use this instead:
$ zcat gencode.gtf.gz | awk -v FS="t" '$3=="UTR"'
BTW: Why are you using such an old release of gencode? The current version is v29.
$endgroup$
$begingroup$
Sorry, literally I need non coding regions of human genome, but for asking my question here I referred to coding parts too
$endgroup$
– Feresh Teh
6 hours ago
$begingroup$
Sorry I tried hat but my output is empty
$endgroup$
– Feresh Teh
6 hours ago
1
$begingroup$
As @Wouter tells you, the non coding region of a genome is the complement of the coding regions. Coding regions have its own feature in the gtf file. You can get them with$ awk -v FS="t" '$3=="CDS"' gencode.gtf
. Reading the manual for bedtools complement is your task.
$endgroup$
– finswimmer
6 hours ago
$begingroup$
Sorry but your commands return nothing, I mean not working returning empty file
$endgroup$
– Feresh Teh
1 hour ago
$begingroup$
The gtf file the OP has linked to includes non-coding transcripts (LINCs, pseudogenes, tRNAs etc). I am guessing this is what they're after.
$endgroup$
– terdon♦
49 mins ago
|
show 1 more comment
$begingroup$
Getting the non coding regions of a protein coding transcript, sounds like you are looking for UTR.
UTR
has its own feature in the gtf file. So you can do this:
$ awk -v FS="t" '$3=="UTR"' gencode.gtf
If the gtf file is compressed use this instead:
$ zcat gencode.gtf.gz | awk -v FS="t" '$3=="UTR"'
BTW: Why are you using such an old release of gencode? The current version is v29.
$endgroup$
Getting the non coding regions of a protein coding transcript, sounds like you are looking for UTR.
UTR
has its own feature in the gtf file. So you can do this:
$ awk -v FS="t" '$3=="UTR"' gencode.gtf
If the gtf file is compressed use this instead:
$ zcat gencode.gtf.gz | awk -v FS="t" '$3=="UTR"'
BTW: Why are you using such an old release of gencode? The current version is v29.
edited 6 hours ago
answered 6 hours ago
finswimmerfinswimmer
962210
962210
$begingroup$
Sorry, literally I need non coding regions of human genome, but for asking my question here I referred to coding parts too
$endgroup$
– Feresh Teh
6 hours ago
$begingroup$
Sorry I tried hat but my output is empty
$endgroup$
– Feresh Teh
6 hours ago
1
$begingroup$
As @Wouter tells you, the non coding region of a genome is the complement of the coding regions. Coding regions have its own feature in the gtf file. You can get them with$ awk -v FS="t" '$3=="CDS"' gencode.gtf
. Reading the manual for bedtools complement is your task.
$endgroup$
– finswimmer
6 hours ago
$begingroup$
Sorry but your commands return nothing, I mean not working returning empty file
$endgroup$
– Feresh Teh
1 hour ago
$begingroup$
The gtf file the OP has linked to includes non-coding transcripts (LINCs, pseudogenes, tRNAs etc). I am guessing this is what they're after.
$endgroup$
– terdon♦
49 mins ago
|
show 1 more comment
$begingroup$
Sorry, literally I need non coding regions of human genome, but for asking my question here I referred to coding parts too
$endgroup$
– Feresh Teh
6 hours ago
$begingroup$
Sorry I tried hat but my output is empty
$endgroup$
– Feresh Teh
6 hours ago
1
$begingroup$
As @Wouter tells you, the non coding region of a genome is the complement of the coding regions. Coding regions have its own feature in the gtf file. You can get them with$ awk -v FS="t" '$3=="CDS"' gencode.gtf
. Reading the manual for bedtools complement is your task.
$endgroup$
– finswimmer
6 hours ago
$begingroup$
Sorry but your commands return nothing, I mean not working returning empty file
$endgroup$
– Feresh Teh
1 hour ago
$begingroup$
The gtf file the OP has linked to includes non-coding transcripts (LINCs, pseudogenes, tRNAs etc). I am guessing this is what they're after.
$endgroup$
– terdon♦
49 mins ago
$begingroup$
Sorry, literally I need non coding regions of human genome, but for asking my question here I referred to coding parts too
$endgroup$
– Feresh Teh
6 hours ago
$begingroup$
Sorry, literally I need non coding regions of human genome, but for asking my question here I referred to coding parts too
$endgroup$
– Feresh Teh
6 hours ago
$begingroup$
Sorry I tried hat but my output is empty
$endgroup$
– Feresh Teh
6 hours ago
$begingroup$
Sorry I tried hat but my output is empty
$endgroup$
– Feresh Teh
6 hours ago
1
1
$begingroup$
As @Wouter tells you, the non coding region of a genome is the complement of the coding regions. Coding regions have its own feature in the gtf file. You can get them with
$ awk -v FS="t" '$3=="CDS"' gencode.gtf
. Reading the manual for bedtools complement is your task.$endgroup$
– finswimmer
6 hours ago
$begingroup$
As @Wouter tells you, the non coding region of a genome is the complement of the coding regions. Coding regions have its own feature in the gtf file. You can get them with
$ awk -v FS="t" '$3=="CDS"' gencode.gtf
. Reading the manual for bedtools complement is your task.$endgroup$
– finswimmer
6 hours ago
$begingroup$
Sorry but your commands return nothing, I mean not working returning empty file
$endgroup$
– Feresh Teh
1 hour ago
$begingroup$
Sorry but your commands return nothing, I mean not working returning empty file
$endgroup$
– Feresh Teh
1 hour ago
$begingroup$
The gtf file the OP has linked to includes non-coding transcripts (LINCs, pseudogenes, tRNAs etc). I am guessing this is what they're after.
$endgroup$
– terdon♦
49 mins ago
$begingroup$
The gtf file the OP has linked to includes non-coding transcripts (LINCs, pseudogenes, tRNAs etc). I am guessing this is what they're after.
$endgroup$
– terdon♦
49 mins ago
|
show 1 more comment
$begingroup$
This isn't a problem that's easily solved with awk. It's not like you're extracting a feature that's annotated in the GTF file. Instead, you want the empty space between annotated features.
A few years ago I wrote a program called LocusPocus for a similar task. It uses a gene annotation to break down a genome into gene loci and intergenic regions. It handles overlapping annotations and other weirdness pretty robustly. The output will include both coding regions and non-coding regions, but you can identify the intergenic spaces as those with iLocus_type
equal to iiLocus
or fiLocus
.
Note: the --delta
parameter will extend each gene/transcript by 500bp by default.
Caveat: the program only accepts GFF3 input by default. Hopefully it won't be too hard to convert your GTF to GFF3.
Another caveat: eventual interpretation of these data will depend on what features are annotated in the genome and which annotations you include vs ignore. Do you want your non-coding regions to include non-coding genes, or should these be treated separately? Some non-coding regions will be full of transposable elements and other repetitive DNA, while others will have enhancers, promoters, or other regulatory elements. It's important to tread carefully before you jump to any conclusions.
$endgroup$
add a comment |
$begingroup$
This isn't a problem that's easily solved with awk. It's not like you're extracting a feature that's annotated in the GTF file. Instead, you want the empty space between annotated features.
A few years ago I wrote a program called LocusPocus for a similar task. It uses a gene annotation to break down a genome into gene loci and intergenic regions. It handles overlapping annotations and other weirdness pretty robustly. The output will include both coding regions and non-coding regions, but you can identify the intergenic spaces as those with iLocus_type
equal to iiLocus
or fiLocus
.
Note: the --delta
parameter will extend each gene/transcript by 500bp by default.
Caveat: the program only accepts GFF3 input by default. Hopefully it won't be too hard to convert your GTF to GFF3.
Another caveat: eventual interpretation of these data will depend on what features are annotated in the genome and which annotations you include vs ignore. Do you want your non-coding regions to include non-coding genes, or should these be treated separately? Some non-coding regions will be full of transposable elements and other repetitive DNA, while others will have enhancers, promoters, or other regulatory elements. It's important to tread carefully before you jump to any conclusions.
$endgroup$
add a comment |
$begingroup$
This isn't a problem that's easily solved with awk. It's not like you're extracting a feature that's annotated in the GTF file. Instead, you want the empty space between annotated features.
A few years ago I wrote a program called LocusPocus for a similar task. It uses a gene annotation to break down a genome into gene loci and intergenic regions. It handles overlapping annotations and other weirdness pretty robustly. The output will include both coding regions and non-coding regions, but you can identify the intergenic spaces as those with iLocus_type
equal to iiLocus
or fiLocus
.
Note: the --delta
parameter will extend each gene/transcript by 500bp by default.
Caveat: the program only accepts GFF3 input by default. Hopefully it won't be too hard to convert your GTF to GFF3.
Another caveat: eventual interpretation of these data will depend on what features are annotated in the genome and which annotations you include vs ignore. Do you want your non-coding regions to include non-coding genes, or should these be treated separately? Some non-coding regions will be full of transposable elements and other repetitive DNA, while others will have enhancers, promoters, or other regulatory elements. It's important to tread carefully before you jump to any conclusions.
$endgroup$
This isn't a problem that's easily solved with awk. It's not like you're extracting a feature that's annotated in the GTF file. Instead, you want the empty space between annotated features.
A few years ago I wrote a program called LocusPocus for a similar task. It uses a gene annotation to break down a genome into gene loci and intergenic regions. It handles overlapping annotations and other weirdness pretty robustly. The output will include both coding regions and non-coding regions, but you can identify the intergenic spaces as those with iLocus_type
equal to iiLocus
or fiLocus
.
Note: the --delta
parameter will extend each gene/transcript by 500bp by default.
Caveat: the program only accepts GFF3 input by default. Hopefully it won't be too hard to convert your GTF to GFF3.
Another caveat: eventual interpretation of these data will depend on what features are annotated in the genome and which annotations you include vs ignore. Do you want your non-coding regions to include non-coding genes, or should these be treated separately? Some non-coding regions will be full of transposable elements and other repetitive DNA, while others will have enhancers, promoters, or other regulatory elements. It's important to tread carefully before you jump to any conclusions.
edited 13 mins ago
answered 23 mins ago
Daniel StandageDaniel Standage
2,303329
2,303329
add a comment |
add a comment |
$begingroup$
If you want all transcripts from that gtf file whose type isn't "protein coding", you can use almost the same command, just change the ==
("is") to !=
("isn't"):
awk '{if($3=="transcript" && $20!=""protein_coding";"){print $0}}' gencode.gtf
Or, a simpler version:
awk '$3=="transcript" && $20!=""protein_coding";"' gencode.gtf
Note that this will not include any of the havana transcripts in the file, but I am assuming that's what you want since that's what your original command did.
Specifically, the command will return the following types of transcript (the numbers on the left are the number of such transcripts in the file):
awk '$3=="transcript" && $20!=""protein_coding";"{print $20}' gencode.gtf | sort | uniq -c | sort -nk1
1 "translated_processed_pseudogene";
2 "Mt_rRNA";
3 "IG_J_pseudogene";
3 "TR_D_gene";
4 "TR_J_pseudogene";
5 "TR_C_gene";
10 "IG_C_pseudogene";
18 "IG_C_gene";
18 "IG_J_gene";
22 "Mt_tRNA";
25 "3prime_overlapping_ncrna";
27 "TR_V_pseudogene";
37 "IG_D_gene";
58 "non_stop_decay";
59 "polymorphic_pseudogene";
74 "TR_J_gene";
97 "TR_V_gene";
144 "IG_V_gene";
182 "unitary_pseudogene";
196 "IG_V_pseudogene";
330 "sense_overlapping";
387 "pseudogene";
442 "transcribed_processed_pseudogene";
531 "rRNA";
802 "sense_intronic";
860 "transcribed_unprocessed_pseudogene";
1529 "snoRNA";
1923 "snRNA";
2050 "misc_RNA";
2549 "unprocessed_pseudogene";
3116 "miRNA";
9710 "antisense";
10623 "processed_pseudogene";
11780 "lincRNA";
13052 "nonsense_mediated_decay";
25955 "retained_intron";
28082 "processed_transcript";
You might also want to remove that "translated_processed_pseudogene" since that is actually translated into protein and is therefore technically coding:
awk '$3=="transcript" &&
$20!=""protein_coding";" &&
$20!=""translated_processed_pseudogene";"' gencode.gtf
$endgroup$
add a comment |
$begingroup$
If you want all transcripts from that gtf file whose type isn't "protein coding", you can use almost the same command, just change the ==
("is") to !=
("isn't"):
awk '{if($3=="transcript" && $20!=""protein_coding";"){print $0}}' gencode.gtf
Or, a simpler version:
awk '$3=="transcript" && $20!=""protein_coding";"' gencode.gtf
Note that this will not include any of the havana transcripts in the file, but I am assuming that's what you want since that's what your original command did.
Specifically, the command will return the following types of transcript (the numbers on the left are the number of such transcripts in the file):
awk '$3=="transcript" && $20!=""protein_coding";"{print $20}' gencode.gtf | sort | uniq -c | sort -nk1
1 "translated_processed_pseudogene";
2 "Mt_rRNA";
3 "IG_J_pseudogene";
3 "TR_D_gene";
4 "TR_J_pseudogene";
5 "TR_C_gene";
10 "IG_C_pseudogene";
18 "IG_C_gene";
18 "IG_J_gene";
22 "Mt_tRNA";
25 "3prime_overlapping_ncrna";
27 "TR_V_pseudogene";
37 "IG_D_gene";
58 "non_stop_decay";
59 "polymorphic_pseudogene";
74 "TR_J_gene";
97 "TR_V_gene";
144 "IG_V_gene";
182 "unitary_pseudogene";
196 "IG_V_pseudogene";
330 "sense_overlapping";
387 "pseudogene";
442 "transcribed_processed_pseudogene";
531 "rRNA";
802 "sense_intronic";
860 "transcribed_unprocessed_pseudogene";
1529 "snoRNA";
1923 "snRNA";
2050 "misc_RNA";
2549 "unprocessed_pseudogene";
3116 "miRNA";
9710 "antisense";
10623 "processed_pseudogene";
11780 "lincRNA";
13052 "nonsense_mediated_decay";
25955 "retained_intron";
28082 "processed_transcript";
You might also want to remove that "translated_processed_pseudogene" since that is actually translated into protein and is therefore technically coding:
awk '$3=="transcript" &&
$20!=""protein_coding";" &&
$20!=""translated_processed_pseudogene";"' gencode.gtf
$endgroup$
add a comment |
$begingroup$
If you want all transcripts from that gtf file whose type isn't "protein coding", you can use almost the same command, just change the ==
("is") to !=
("isn't"):
awk '{if($3=="transcript" && $20!=""protein_coding";"){print $0}}' gencode.gtf
Or, a simpler version:
awk '$3=="transcript" && $20!=""protein_coding";"' gencode.gtf
Note that this will not include any of the havana transcripts in the file, but I am assuming that's what you want since that's what your original command did.
Specifically, the command will return the following types of transcript (the numbers on the left are the number of such transcripts in the file):
awk '$3=="transcript" && $20!=""protein_coding";"{print $20}' gencode.gtf | sort | uniq -c | sort -nk1
1 "translated_processed_pseudogene";
2 "Mt_rRNA";
3 "IG_J_pseudogene";
3 "TR_D_gene";
4 "TR_J_pseudogene";
5 "TR_C_gene";
10 "IG_C_pseudogene";
18 "IG_C_gene";
18 "IG_J_gene";
22 "Mt_tRNA";
25 "3prime_overlapping_ncrna";
27 "TR_V_pseudogene";
37 "IG_D_gene";
58 "non_stop_decay";
59 "polymorphic_pseudogene";
74 "TR_J_gene";
97 "TR_V_gene";
144 "IG_V_gene";
182 "unitary_pseudogene";
196 "IG_V_pseudogene";
330 "sense_overlapping";
387 "pseudogene";
442 "transcribed_processed_pseudogene";
531 "rRNA";
802 "sense_intronic";
860 "transcribed_unprocessed_pseudogene";
1529 "snoRNA";
1923 "snRNA";
2050 "misc_RNA";
2549 "unprocessed_pseudogene";
3116 "miRNA";
9710 "antisense";
10623 "processed_pseudogene";
11780 "lincRNA";
13052 "nonsense_mediated_decay";
25955 "retained_intron";
28082 "processed_transcript";
You might also want to remove that "translated_processed_pseudogene" since that is actually translated into protein and is therefore technically coding:
awk '$3=="transcript" &&
$20!=""protein_coding";" &&
$20!=""translated_processed_pseudogene";"' gencode.gtf
$endgroup$
If you want all transcripts from that gtf file whose type isn't "protein coding", you can use almost the same command, just change the ==
("is") to !=
("isn't"):
awk '{if($3=="transcript" && $20!=""protein_coding";"){print $0}}' gencode.gtf
Or, a simpler version:
awk '$3=="transcript" && $20!=""protein_coding";"' gencode.gtf
Note that this will not include any of the havana transcripts in the file, but I am assuming that's what you want since that's what your original command did.
Specifically, the command will return the following types of transcript (the numbers on the left are the number of such transcripts in the file):
awk '$3=="transcript" && $20!=""protein_coding";"{print $20}' gencode.gtf | sort | uniq -c | sort -nk1
1 "translated_processed_pseudogene";
2 "Mt_rRNA";
3 "IG_J_pseudogene";
3 "TR_D_gene";
4 "TR_J_pseudogene";
5 "TR_C_gene";
10 "IG_C_pseudogene";
18 "IG_C_gene";
18 "IG_J_gene";
22 "Mt_tRNA";
25 "3prime_overlapping_ncrna";
27 "TR_V_pseudogene";
37 "IG_D_gene";
58 "non_stop_decay";
59 "polymorphic_pseudogene";
74 "TR_J_gene";
97 "TR_V_gene";
144 "IG_V_gene";
182 "unitary_pseudogene";
196 "IG_V_pseudogene";
330 "sense_overlapping";
387 "pseudogene";
442 "transcribed_processed_pseudogene";
531 "rRNA";
802 "sense_intronic";
860 "transcribed_unprocessed_pseudogene";
1529 "snoRNA";
1923 "snRNA";
2050 "misc_RNA";
2549 "unprocessed_pseudogene";
3116 "miRNA";
9710 "antisense";
10623 "processed_pseudogene";
11780 "lincRNA";
13052 "nonsense_mediated_decay";
25955 "retained_intron";
28082 "processed_transcript";
You might also want to remove that "translated_processed_pseudogene" since that is actually translated into protein and is therefore technically coding:
awk '$3=="transcript" &&
$20!=""protein_coding";" &&
$20!=""translated_processed_pseudogene";"' gencode.gtf
edited 46 mins ago
answered 53 mins ago
terdon♦terdon
4,2691729
4,2691729
add a comment |
add a comment |
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$begingroup$
Do you want all non-coding regions of the genome or do you want all non-coding transcripts? These are two very different things.
$endgroup$
– terdon♦
1 hour ago