2nd way, CGmapTools are good downstream analysis bundle which has 40 characteristics to have DNA methylation study

2nd way, CGmapTools are good downstream analysis bundle which has 40 characteristics to have DNA methylation study

Q: Each one of my CGmap data files have anywhere between step one,100000 and you may 2,100 positions from which the fresh nucleotide is given instead a theme, but alternatively only “–” eg:

A: You might ask the newest administrator of cluster to set up pysam. If not have to irritate him/the woman, you will need to construct your python, immediately after which build this new “pysam” bundle. The second script was ideal for you.

A: Which mistake is linked that have pysam adaptation. Research using pysam v0.6.x don’t have particularly error. Anyone records such as mistake while using the pysam v0.7.cuatro. We have not decide to try almost every other pysam versions, and they are really grateful for people who you’ll tell us in the event it deals with other products. Change : For the adaptation 2.step 1.2 and later, BS-Seeker2 consided the problem that have pysam adaptation. For folks who however deal with similar mistake even with your upgrade to help you 2.1.2, you’re invited to deliver feedbacks so you’re able to us.

Q: I attempted bs_seeker2-call_methylation.py, discovered new read depth in CGmap document is definitely less than 8000, where checks out might be a lot adventist singles Gebruikersnaam higher. (Many thanks Xuning Wang to possess calculating this problem and you will resolve they)

A: It is related because of the with factor inside pileup form parsing to help you “pysam”. From the v2.step one.step 3 and soon after, alternative “-D” try additional to possess “bs_seeker2-call_methylation.py”. Associate could indicate highest quantity of exposure limit, as a swap out-of costing additional time to possess control.

A: If you’re utilizing the “python” regarding roadway “/usr/bin/python”, you could privately are the street from BS-Seeker2 from inside the file ” /.bash_profile” (bash) otherwise ” /.profile” (other shell) or “

Q: What should i would when your several mates have overlaps?

/.bashrc” (per-interactive-layer startup). But when you are employing python not as much as almost every other directories, you will need to change BS-Seeker2’s program very first. Eg, should your python roadway is actually “/my_python/python”, excite change the first-line within the “bs_seeker-create.py”, “bs_seeker-line up.py” and you can “bs_seeker-call_methylation.py” so you can

Q: Easily want to just keep alignments you to definitely chart uniquely, is this a disagreement I ought to likewise have directly to Bowtie2 (thru BS Hunter 2’s demand range choice), or perhaps is so it an option which can be found for the BS Seeker 2 in itself?

A: BS-Seeker2 profile book positioning automatically currently. When you need to know how of a lot reads might have multiple hits, run BS-Seeker2 with factor “–multiple-hit”.

Q: To possess RRBS library, brand new methylation amounts of C on 5′-CCGG-3′ sites are biased. Do BS-Seeker2 brings mode to own to stop particularly bias?

A: Regarding the adaptation v2.0.seven or later, BS-Seeker2 offer parameter “–rm-CCGG” during the “bs_seeker2-call-methylation.py”. Having RRBS collection, the latest orginal sequences will be slashed as gluey finishes: 5′-CGGNNNN. NNNNC-3′ 3′-CNNNN. NNNNGGC-5′ Following artificial nucleotides would be additional : 5′-CGGNNNN. NNNNCcg-3′ 3′-cgCNNNN. NNNNGGC-5′ Ergo, the brand new reputation out-of artificial cytosine will cause the brand new prejudice. The new parameter “–rm-CCGG” often cure most of the “5′-CCGG-3′” internet regarding outputs.

A: Certain type of bowtie doesn’t work within the BS-Seeker2. Even as we understood, bowtie v1.2 linux will cause eg problem, and you may new variety of bowtie might possibly be advised, such as for example bowtie v1.dos.1.1. I greet you declaration your case so you can united states, and we will up-date him or her here.

A: To possess BS-Seeker2, it makes one declare each chromosome/contig whenever strengthening the brand new directory. Therefore when your genome includes plenty of scaffolds, then there would be too-much data files in one folder to your disk. Right here, we offer two apps having resolving new prolbem.

And just have mostly reduce the overall performance having mapping the BS-seq reads

  • (initial step): “ThreadFasta” : this program can assist you to threading hundreds of small scaffolds towards the higher pseudo-chromosomes. Additionally, the program will create “dictionary data” (stop which have “.dict) to own converting the position between brand new “pseudo-chromosome” and you can “intense scaffolds”