Sorry but I dont undertand
¿are the rDNAs in both databases too short?
average size is arround 110nt, but 28S has 5070nt and 18S has 1819 nt
¿¿??
Unconfigured Ad
Collapse
X
-
for mm10, there are no more rRNA elements in random chromosomes or scaffolds - they have all been placed in regular chromosomes.
mm10_rRNA_rmsk.gtf has 1564 intervals covering 168298 bp
mm10_rRNA_gencode.gtf has 353 intervals covering 39472 bp (vM2 of mouse Gencode)
They overlap on 33.2 kbp, and the only intervals in Gencode that are not present in rmsk at all follow:
Again, one can merge rmsk with these intervals and get the most complete coverage.Code:chr2 61798180 61798296 Gm25966 chr6 94826781 94826923 Gm24601 chr14 12427532 12427641 n-R5s45 chr18 73533403 73533550 n-R5-8s1
Leave a comment:
-
so, from the comparison I've done, it seems like rmsk intervals have a lot more coverage. They include virtually all of the Gencode intervals, but many more unique intervals as well.
So, for hg19:
hg19_rRNA_rmsk.gtf has 1769 intervals covering 193760 bp
hg19_rRNA_gencode.gtf has 571 intervals covering 70960 bp (v19 of human Gencode)
When you intersect the two, you see that they have about 50 kb in common. However all of the gencode intervals but the few that follow are included in rmsk version (I can't evaluate differences in random chromosomes and unplaced scaffolds since they have different names):
So basically, I'm going to use rmsk gtf file with the addition of these 14 lines. This should be more than enough for my purposes. I'm also definitely including all of the random chromosomes etc. since a lot of rRNA elements are there.Code:chr2 133010727 133010878 RNA5-8SP5 chr2 162266065 162266181 5S_rRNA chr9 32293556 32293690 RNA5SP281 chr9 110681147 110681259 RNA5SP293 chr9 111754689 111754849 RNA5-8SP3 chr10 49248476 49248591 RNA5SP315 chr11 8866810 8866905 RNA5SP330 chr11 96207736 96207856 RNA5SP346 chr12 66460001 66460118 RNA5SP362 chr15 98015356 98015482 RNA5SP401 chr16 33965426 33965577 RNA5-8SP2 chr19 24187160 24187309 RNA5-8SP4 chr20 5326652 5326806 RNA5-8SP7 chrY 10037764 10037915 RNA5-8SP6
Last edited by apredeus; 03-28-2014, 09:08 PM.
Leave a comment:
-
yes, they are different, but the question is which one is more comprehensive (and thus will be more complete in i.e. evaluation of rRNA presence in RNA-seq experiment).Originally posted by jbchang View PostIn terms of the Ensembl vs Hg19 (rmsk) coordinates/annotations for rRNA, although I am new to this, it doesn't seem like they should necessarily correspond. Don't they have different annotation pipelines/procedures, anyway?
Actually, as I'm finding out, they are super different. I'm not quite sure what is the reason for that. I'll post more details in the next post.
Leave a comment:
-
Thanks, guys, for this valuable discussion. After looking through the rmsk rRNA entries more closely, they seem to make enough sense that I'm willing to trust RepeatMasker.
In terms of the Ensembl vs Hg19 (rmsk) coordinates/annotations for rRNA, although I am new to this, it doesn't seem like they should necessarily correspond. Don't they have different annotation pipelines/procedures, anyway?
Best,
Jeremy
Leave a comment:
-
Right, yes, I've considered this. From what I've learnt, GRCh37 should be precisely identical in terms of genomic coordinates to what's known as hg19 in UCSC notation.
Does the same hold true for GRCm38/mm10?
Leave a comment:
-
First thing to check would be the genome builds and make sure they are the same.Originally posted by apredeus View PostNow, I'm seeing quite a bit of differences between intervals provided in Ensembl GTF file and in UCSC tables. I'll have to look at this in more detail to try and understand where do they come from.
Leave a comment:
-
So, to continue, I've looked at the "gene_id" identifiers provided in UCSC "rmsk" table (which, as I understand now, refers to RepeatMasker database, go me!
).
For hg19, the output is
For mm9, it isCode:1275 5S 414 LSU-rRNA_Hsa 80 SSU-rRNA_Hsa
So basically the conclusions is 1) UCSC DOES include all of the rRNA into their "rmsk" table annotation, and 2) to get realistic picture of rRNA presence, you should have genome with all of the "random" chromsomes, etc.Code:1035 5S 491 LSU-rRNA_Hsa 46 SSU-rRNA_Hsa
Now, I'm seeing quite a bit of differences between intervals provided in Ensembl GTF file and in UCSC tables. I'll have to look at this in more detail to try and understand where do they come from.
Leave a comment:
-
So I spent some time to learn the situation, and this is actually pretty coolOriginally posted by jbchang View PostHey folks,
I've been looking into this for a day or two as well, and I also downloaded the .gtf corresponding to repClass=rRNA (also tRNA) from the UCSC Table Browser.
When I scroll through the .gtf file, though, it seems to only have entries corresponding to the 5S ribosome. Is this true for you guys, too?
Thanks,
Jeremy
So, there are 6 kinds of ribosomal RNA in mammals (well for sure in humans): 3 belonging to large subunit (LSU rRNA: 5S, 5.8S, and 28S), 1 belonging to small subunit (SSU rRNA: 18 S), and 2 mitochondrial rRNAs (12S, 16S).
Mitochondrial ones are the easiest - they reside, well, in chromosome M
Two rRNAs, two genes, very neat.
However, others are a real mess. Here's what Wiki says about it:
So, yes, we do see a ton of 5S genes and pseudogenes all over the annotated GTFs. There are also some 5.8S, but not many (about ten). Where are the the above-mentioned clusters of 45 rDNA though? Well, that's when it gets interesting. They are still not annotated! Gene cards say the following here:The 28S, 5.8S, and 18S rRNAs are encoded by a single transcription unit (45S) separated by 2 internally transcribed spacers. The 45S rDNA is organized into 5 clusters (each has 30-40 repeats) on chromosomes 13, 14, 15, 21, and 22. These are transcribed by RNA polymerase I. 5S occurs in tandem arrays (~200-300 true 5S genes and many dispersed pseudogenes), the largest one on the chromosome 1q41-42. 5S rRNA is transcribed by RNA polymerase III.
Indeed, in Ensembl file I've found the following entries:The sequences coding for ribosomal RNAs are present as rDNA repeating units, designated RNR1 through RNR5, in the p12 region of chromosomes 13, 14, 15, 21 and 22. A 45S rRNA which serves as the precursor for the 18S, 5.8S and 28S rRNA, is transcribed from each rDNA unit by RNA polymerase I. The number of rDNA repeating units varied between individuals and from chromosome to chromosome, although usually 30 to 40 repeats are found on each chromosome. These ribosomal repeating units are not currently annotated on the reference genome. This gene represents the portion of one rDNA repeat which encodes an 18S rRNA.(provided by RefSeq, Mar 2009) .
As of GRCh38, contig GL000220.1 is still unplaced. However, GL000228.1 is obsolete and probably is present in main GRCh38 assembly.Code:GL000220.1 109078 110946 5S_rRNA rRNA GL000220.1 109078 110946 RNA18S5 rRNA GL000220.1 109078 110946 RNA18S5 rRNA GL000220.1 112025 112177 RNA18S5 rRNA GL000220.1 112025 112177 RNA5-8S5 rRNA GL000220.1 112025 112177 RNA5-8S5 rRNA GL000220.1 113348 118417 RNA5-8S5 rRNA GL000220.1 113348 118417 RNA28S5 rRNA GL000220.1 113348 118417 RNA28S5 rRNA GL000220.1 114151 114242 RNA28S5 rRNA GL000220.1 114151 114242 RNA28S5 rRNA GL000220.1 118197 118253 RNA28S5 rRNA GL000220.1 118197 118253 RNA28S5 rRNA GL000220.1 155997 156149 RNA28S5 rRNA GL000220.1 155997 156149 RNA5-8S5 rRNA GL000220.1 155997 156149 RNA5-8S5 rRNA GL000228.1 20113 20230 RNA5-8S5 rRNA GL000228.1 20113 20230 5S_rRNA rRNA GL000228.1 20113 20230 5S_rRNA rRNA GL000228.1 22673 22791 5S_rRNA rRNA GL000228.1 22673 22791 5S_rRNA rRNA GL000228.1 22673 22791 5S_rRNA rRNA
Well, I think we all learned something today!
Leave a comment:
-
Hey folks,
I've been looking into this for a day or two as well, and I also downloaded the .gtf corresponding to repClass=rRNA (also tRNA) from the UCSC Table Browser.
When I scroll through the .gtf file, though, it seems to only have entries corresponding to the 5S ribosome. Is this true for you guys, too?
Thanks,
Jeremy
Leave a comment:
-
I definitely will, and I'll post the results here in a day or two.Originally posted by GenoMax View PostThere are differences in GTF files for UCSC and Ensembl downloaded from the iGenomes. See for reference: http://seqanswers.com/forums/showthread.php?t=41701
Can you check to see if the data you got from UCSC matches the Ensembl GTF?
Leave a comment:
-
There are differences in GTF files for UCSC and Ensembl downloaded from the iGenomes. See for reference: http://seqanswers.com/forums/showthread.php?t=41701
Can you check to see if the data you got from UCSC matches the Ensembl GTF?
Leave a comment:
-
As another option: this information is also in the GTF files available from Ensembl: http://www.ensembl.org/info/data/ftp/index.html You will have to "grep" out the information.
Leave a comment:
Latest Articles
Collapse
-
by SEQadmin2
Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?
Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating...-
Channel: Articles
10-14-2026, 09:55 AM -
-
by SEQadmin2
Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.
We asked six companies the same four questions to learn about their latest products. The new technologies bring a lot to the table, including rethinking sequencing...-
Channel: Articles
-
ad_right_rmr
Collapse
News
Collapse
| Topics | Statistics | Last Post | ||
|---|---|---|---|---|
|
Started by SEQadmin2, 10-22-2026, 11:13 AM
|
0 responses
51 views
0 reactions
|
Last Post
by SEQadmin2
10-22-2026, 11:13 AM
|
||
|
Started by SEQadmin2, 10-22-2026, 10:48 AM
|
0 responses
37 views
0 reactions
|
Last Post
by SEQadmin2
10-22-2026, 10:48 AM
|
||
|
Started by SEQadmin2, 10-15-2026, 10:52 AM
|
0 responses
46 views
0 reactions
|
Last Post
by SEQadmin2
10-15-2026, 10:52 AM
|
||
|
Started by SEQadmin2, 10-14-2026, 05:39 AM
|
0 responses
46 views
0 reactions
|
Last Post
by SEQadmin2
10-14-2026, 05:39 AM
|
Leave a comment: