Alternatively, you could download hg18/19 indexes from the Bowtie website and use them from now on (what you see now is a result of using the indexes built by NCBI assemblies), which use chromosome names consistent with the UCSC genome browser (chr1, chr2 etc), if you don't want to edit/run things yourself.
Cheers,
-- Leo
Header Leaderboard Ad
Collapse
Using tophat results via UCSC genome browser
Collapse
Announcement
Collapse
SEQanswers June Challenge Has Begun!
The competition has begun! We're giving away a $50 Amazon gift card to the member who answers the most questions on our site during the month. We want to encourage our community members to share their knowledge and help each other out by answering questions related to sequencing technologies, genomics, and bioinformatics. The competition is open to all members of the site, and the winner will be announced at the beginning of July. Best of luck!
For a list of the official rules, visit (https://www.seqanswers.com/forum/sit...wledge-and-win)
For a list of the official rules, visit (https://www.seqanswers.com/forum/sit...wledge-and-win)
See more
See less
X
-
You might give Galaxy a try: http://main.g2.bx.psu.edu/
On there you can upload the file and manipulate it into a format that you can use. I'm pretty new to bioinformatics so there might be a faster and easier way, but thus far it has been a very useful tool. Since you are wanting to upload the data to UCSC it would probably be best to place your data into a GFF file. I can give you a little walk through on using Galaxy to convert your BED file into a GFF.
1. Go to http://main.g2.bx.psu.edu/
2. Click 'Get Data' and then 'Upload File' select your file as a BED file and then browse for your file, select it, and then click Execute.
3. Your data should be in separate columns automatically by selecting the file type as BED which should convert the pipes into tabs. From here it is just simple text manipulation.
4. Click on 'Text Manipulation' and then you can manipulate your file by adding the necessary columns for the GFF format and then you can just simply cut them using the 'Cut' option to put them in order.
Hope this helps.
-Brandon
Leave a comment:
-
Using tophat results via UCSC genome browser
Hi all,
Recently, I ran TopHat with 76bp reads data and got the results (sam, bed, and wig files).
Actual a few lines of my input (fasta file) are:
>HWUSI-EAS366:4:1:4:624#0/1:
CTCNGGATGGAGTACAGTGGTGTGATCATGGCTCACTGTAGNNNNNANCNCNTGGGCGCAAGCNNNNNNNNNCTAN
>HWUSI-EAS366:4:1:4:243#0/1:
CGGNGCCGTTGCTGGTTCTCACACCTTTTAGGTCTGTTCTCNNNNNCNGNTNCGACTCTCTCTNNNNNANNNCCGN
>HWUSI-EAS366:4:1:4:1373#0/1:
GAAAAAACCACCCAGCGGTGATGGCAGCGCGCGTGGGTCCCNNNGNGNGNGGGGCGGGTCGCGCNNNNGNNNCGAN
>HWUSI-EAS366:4:1:4:1672#0/1:
GGGCAGGAAAAAAAGGGAAGANAAAATACTGGGGAAGAAAANNNANCNCNGTTTGGCAGCTCTTNNNNGNNNCAGN
And a few lines of junctions.bed file are:
track name=junctions description="TopHat junctions"
gi|29823169|ref|NT_025004.13|Hs18_25160 9690 19656 JUNC00000001 1 + 9690 19656 255,0,0 2 37,38 0,9928
gi|29823169|ref|NT_025004.13|Hs18_25160 14260 19654 JUNC00000002 2 + 14260 19654 255,0,0 2 57,36 0,5358
gi|29823169|ref|NT_025004.13|Hs18_25160 19701 160104 JUNC00000003 3 + 19701 160104 255,0,0 2 32,66 0,140337
A few lines of coverage.wig file are:
track type=bedGraph name="TopHat - read coverage"
gi|29823169|ref|NT_025004.13|Hs18_25160 0 9580 0
gi|29823169|ref|NT_025004.13|Hs18_25160 9580 9655 1
gi|29823169|ref|NT_025004.13|Hs18_25160 9655 9690 0
Here is the problem.
When I copied and pasted the results (either bed file or wig file), I always got an error and when I change the gi|29823169|ref|NT... part to something like chromosome name, it works.
As you can see from my input file, I don't have gi|29823169|ref|NT... part. I am not sure where the TopHat find such label or reference.
Can someone tell me what gi|29823169|ref|NT... part means and how I can convert these files into the one that UCSC genome brower understands. I think I need to get the actual chromosome names.
Thank you,
StatsteamTags: None
Latest Articles
Collapse
-
by seqadmin
Developments in sequencing technologies and methodologies have transformed the field of epigenetics, giving researchers a better way to understand the complex world of gene regulation and heritable modifications. This article explores some of the diverse sequencing methods employed in the study of epigenetics, ranging from classic techniques to cutting-edge innovations while providing a brief overview of their processes, applications, and advances.
Methylation Detect...-
Channel: Articles
05-31-2023, 10:46 AM -
-
Differential Expression and Data Visualization: Recommended Tools for Next-Level Sequencing Analysisby seqadmin
After covering QC and alignment tools in the first segment and variant analysis and genome assembly in the second segment, we’re wrapping up with a discussion about tools for differential gene expression analysis and data visualization. In this article, we include recommendations from the following experts: Dr. Mark Ziemann, Senior Lecturer in Biotechnology and Bioinformatics, Deakin University; Dr. Medhat Mahmoud Postdoctoral Research Fellow at Baylor College of Medicine;...-
Channel: Articles
05-23-2023, 12:26 PM -
-
by seqadmin
Continuing from our previous article, we share variant analysis and genome assembly tools recommended by our experts Dr. Medhat Mahmoud, Postdoctoral Research Fellow at Baylor College of Medicine, and Dr. Ming "Tommy" Tang, Director of Computational Biology at Immunitas and author of From Cell Line to Command Line.
Variant detection and analysis tools
Mahmoud classifies variant detection work into two main groups: short variants (<50...-
Channel: Articles
05-19-2023, 10:03 AM -
ad_right_rmr
Collapse
News
Collapse
Topics | Statistics | Last Post | ||
---|---|---|---|---|
Started by seqadmin, 06-07-2023, 07:14 AM
|
0 responses
11 views
0 likes
|
Last Post
by seqadmin
06-07-2023, 07:14 AM
|
||
Started by seqadmin, 06-06-2023, 01:08 PM
|
0 responses
11 views
0 likes
|
Last Post
by seqadmin
06-06-2023, 01:08 PM
|
||
Started by seqadmin, 06-01-2023, 08:56 PM
|
0 responses
164 views
0 likes
|
Last Post
by seqadmin
06-01-2023, 08:56 PM
|
||
Deep Sequencing Unearths Novel Genetic Variants: Enhancing Precision Medicine for Vascular Anomalies
by seqadmin
Started by seqadmin, 06-01-2023, 07:33 AM
|
0 responses
299 views
0 likes
|
Last Post
by seqadmin
06-01-2023, 07:33 AM
|
Leave a comment: