Originally posted by biofqzhao
View Post
Seqanswers Leaderboard Ad
Collapse
Announcement
Collapse
No announcement yet.
X
-
"contig length" indicates the minimal length for your reference sequences. If you are using a whole bacterial genome as a reference, you need not make any change here and just use the default value; if you are using a batch of contigs (which may come from a de novo assembler), you need to set up a minimal length, say, 1000 bp, for the downstream read mapping. The contigs smaller than this value would be discarded.
min (match_len/read_len) and min alignment identity: If you are mapping reads to a very close reference genome, just use the default value. But if you want to map reads to a much divergent species, please refine them as what you want. For example, if you are mapping repetitive reads to a reference transposase element, you can use a lower threshold.
Window length and window step: just use the default value.
Originally posted by gnome7 View PostCan you help me please to setting the parameters, like: contig length, min (match_len/read_len) and min alignment identity, window length, window step? Thank you very much.
Comment
-
inGAP linux version
Dear biofqzhao,
in linux I can't set the parameters. Why?
Please, look at the image uploaded.
Thank you very much for your help,
gnome7Attached Files
Comment
-
inGAP manual and export sequence
Dear Zhao, Ji and everybody else,
This new new program inGAP looks very interesting. It was very easy to use and I was able to assemble some Illumina reads to a mitochondrial genome.
But I found it a little more difficult to analyse the result from the assembly in the AlignViewer. Especially without any proper manual.
I don't really understand how to export the consensus sequence of the assembled reads. Can you please explain how to do that?
Thank you!
Kajsa
Comment
-
Thanks for your interest. We are now updating inGAP, and some functions were disabled. I think all this stuff will be done in a few weeks.
Actually, you can write a script to extract consensus sequences based on the SNP table identified by inGAP and your reference sequence. Just as an alternative approach before the update.
Originally posted by kajsa View PostDear Zhao, Ji and everybody else,
This new new program inGAP looks very interesting. It was very easy to use and I was able to assemble some Illumina reads to a mitochondrial genome.
But I found it a little more difficult to analyse the result from the assembly in the AlignViewer. Especially without any proper manual.
I don't really understand how to export the consensus sequence of the assembled reads. Can you please explain how to do that?
Thank you!
Kajsa
Comment
-
Hi,
Hopefully I get a reply on here as my emails bounce back from the main author.
I want to use BLAT to align my EST contigs to a reference genome. For the reference genome all I have is fasta file, and for the ESTs I have a fasta and qual file. However when I go into mapping options, BLAT is blocked out. I need to use BLAT so that spice sites are identified, thus BLAST is not an option.
Do I need a gene file in order to use BLAT? I doubt it seeing as im pretty sure this is not needed in the original program.
Any ideas?
Thanks,
J
Comment
-
I would suggest you to try BLAST, as there is no much difference between them when aligning ESTs to a reference sequence. In ingap, both aligners can only show you the best match, and the 2nd best spliced matches will be ignored. Maybe nucmer is a good option for you.
BTW, BLAT is disabled in the latest version of ingap.
Originally posted by JackieBadger View PostHi,
Hopefully I get a reply on here as my emails bounce back from the main author.
I want to use BLAT to align my EST contigs to a reference genome. For the reference genome all I have is fasta file, and for the ESTs I have a fasta and qual file. However when I go into mapping options, BLAT is blocked out. I need to use BLAT so that spice sites are identified, thus BLAST is not an option.
Do I need a gene file in order to use BLAT? I doubt it seeing as im pretty sure this is not needed in the original program.
Any ideas?
Thanks,
J
Comment
Latest Articles
Collapse
-
by seqadmin
The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...-
Channel: Articles
04-22-2024, 07:01 AM -
-
by seqadmin
Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...-
Channel: Articles
04-04-2024, 04:25 PM -
ad_right_rmr
Collapse
News
Collapse
Topics | Statistics | Last Post | ||
---|---|---|---|---|
Started by seqadmin, Yesterday, 08:47 AM
|
0 responses
16 views
0 likes
|
Last Post
by seqadmin
Yesterday, 08:47 AM
|
||
Started by seqadmin, 04-11-2024, 12:08 PM
|
0 responses
60 views
0 likes
|
Last Post
by seqadmin
04-11-2024, 12:08 PM
|
||
Started by seqadmin, 04-10-2024, 10:19 PM
|
0 responses
60 views
0 likes
|
Last Post
by seqadmin
04-10-2024, 10:19 PM
|
||
Started by seqadmin, 04-10-2024, 09:21 AM
|
0 responses
54 views
0 likes
|
Last Post
by seqadmin
04-10-2024, 09:21 AM
|
Comment