Does anyone know a way to extract the loop sequence from the miRNA hairpin. Basically I need to extract the part that is between the 3p- and 5p part of the hairpin.
Unconfigured Ad
Collapse
X
-
Here is another suggestion using R/Bioconductor. Good luck!
Code:require(rtracklayer) require(BSgenome.Hsapiens.UCSC.hg19) require(ShortRead) mirTrack = import('ftp://mirbase.org/pub/mirbase/20/genomes/hsa.gff3') # split into hairpin, 5arm and 3arm hp = mirTrack[mirTrack$type != "miRNA"] arm5 = mirTrack[grepl("-5p", mirTrack$Name)] arm3 = mirTrack[grepl("-3p", mirTrack$Name)] # make key for matching hairpin with arm5 and arm3 hp$arm5 = match(hp$ID, arm5$Derives_from) hp$arm3 = match(hp$ID, arm3$Derives_from) # discard hairpins lacking annotated 5p and 3p arms (loops not defined) hp = hp[!is.na(hp$arm3) & !is.na(hp$arm5)] # prepare hp$loopStart = 0 hp$loopEnd = 0 # miRNAs on pos and neg strand have to be parsed separately ## posStrand isPos = as.vector(strand(hp) =="+") hp$loopStart[isPos] = end(arm5[hp$arm5[isPos]]) hp$loopEnd[isPos] = start(arm3[hp$arm3[isPos]]) ## negStrand hp$loopEnd[!isPos] = start(arm5[hp$arm5[!isPos]]) hp$loopStart[!isPos] = end(arm3[hp$arm3[!isPos]]) # GRanges for miRNA loops loops = GRanges(seqnames = seqnames(hp), IRanges(hp$loopStart, hp$loopEnd),strand = strand(hp), MI = hp$ID, Name = hp$Name) # sanity check hist(width(loops)) # we don't want the first/last nt of bounding mature miRs loops = loops-1 loops$seq = getSeq(Hsapiens, loops) loops # export as fastaFile loopsFasta = loops$seq names(loopsFasta) = paste("loopSeq", loops$MI, loops$Name, sep = "_") writeFasta(loopsFasta, file = "mirbase20loops.fa")
Comment
-
Hi! Here is a suggestion using R/Bioconductor. Good luck
Code:require(rtracklayer) require(BSgenome.Hsapiens.UCSC.hg19) require(ShortRead) mirTrack = import('ftp://mirbase.org/pub/mirbase/20/genomes/hsa.gff3') # split into hairpin, 5arm and 3arm hp = mirTrack[mirTrack$type != "miRNA"] arm5 = mirTrack[grepl("-5p", mirTrack$Name)] arm3 = mirTrack[grepl("-3p", mirTrack$Name)] # make key for matching hairpin with arm5 and arm3 hp$arm5 = match(hp$ID, arm5$Derives_from) hp$arm3 = match(hp$ID, arm3$Derives_from) # discard hairpins without annotated 5p and 3p arms hp = hp[!is.na(hp$arm3) & !is.na(hp$arm5)] # prepare hp$loopStart = 0 hp$loopEnd = 0 # miRNAs on pos and neg strand have to be parsed separately ## posStrand isPos = as.vector(strand(hp) =="+") hp$loopStart[isPos] = end(arm5[hp$arm5[isPos]]) hp$loopEnd[isPos] = start(arm3[hp$arm3[isPos]]) ## negStrand hp$loopEnd[!isPos] = start(arm5[hp$arm5[!isPos]]) hp$loopStart[!isPos] = end(arm3[hp$arm3[!isPos]]) # GRanges for miRNA loops loops = GRanges(seqnames = seqnames(hp), IRanges(hp$loopStart, hp$loopEnd),strand = strand(hp), MI = hp$ID, Name = hp$Name) # sanity check hist(width(loops), breaks = 50) # we dont want th efirst/last nt of bounding mature miRs loops = loops-1 loops$seq = getSeq(Hsapiens, loops) # export loops loopsFasta = loops$seq names(loopsFasta) = paste("loop", loops$MI, loops$Name, sep = "_") writeFasta(loopsFasta, file = "mirbase20loops.fa") readLines("mirbase20loops.fa")
Comment
Latest Articles
Collapse
-
by SEQadmin2
CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).
Despite this, “CRISPR helped turn genome editing from a specialized technique into...-
Channel: Articles
07-31-2026, 11:01 AM -
-
by SEQadmin2
Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.
The systematic characterization of the human proteome has...-
Channel: Articles
07-20-2026, 11:48 AM -
ad_right_rmr
Collapse
News
Collapse
| Topics | Statistics | Last Post | ||
|---|---|---|---|---|
|
Started by SEQadmin2, 08-13-2026, 12:22 PM
|
0 responses
31 views
0 reactions
|
Last Post
by SEQadmin2
08-13-2026, 12:22 PM
|
||
|
Started by SEQadmin2, 08-11-2026, 10:35 AM
|
0 responses
24 views
0 reactions
|
Last Post
by SEQadmin2
08-11-2026, 10:35 AM
|
||
|
Started by SEQadmin2, 08-06-2026, 07:41 AM
|
0 responses
38 views
0 reactions
|
Last Post
by SEQadmin2
08-06-2026, 07:41 AM
|
||
|
Started by SEQadmin2, 08-03-2026, 10:13 AM
|
0 responses
51 views
0 reactions
|
Last Post
by SEQadmin2
08-03-2026, 10:13 AM
|
Comment