I have a data-set for RNA seq which somehow the lab has sequenced with Single end reads (I would have suggested PE). Originally plan was to use it for differential expression of human genes, transcripts. But later on I learned that the cell which was used was from a naturally infected with virus. My question is will it be reasonable if I align with viral genome and try to find out differential viral genes affected or it may be best to have PE for more specificity/ have more data to be more confident about viral genes.
Seqanswers Leaderboard Ad
Collapse
Announcement
Collapse
No announcement yet.
X
-
Originally posted by mathew View PostI have a data-set for RNA seq which somehow the lab has sequenced with Single end reads (I would have suggested PE). Originally plan was to use it for differential expression of human genes, transcripts. But later on I learned that the cell which was used was from a naturally infected with virus. My question is will it be reasonable if I align with viral genome and try to find out differential viral genes affected or it may be best to have PE for more specificity/ have more data to be more confident about viral genes.
Comment
-
Viral genes paired or single end
Thanks for your reply. Actually, my aim is not to find out virus as conatminant, but study both viral as well as human genes in a cellline which is naturally infected with virus. I thought once we align with himna genome- say we have around 80% reads and then with virus even though geneome is of small size with single reads we may not have enough to detect viral genes, I ahve alos been searching litearture and find- http://jvi.asm.org/content/86/3/1458.full where they have used PEX 100.
Any suggestion I am still debating how to procede?
Thanks
Comment
-
Hmmm... you can try what they did in that paper.... align with strict criteria i guess to get better results... i'm not sure about RNA seq aligning but as i said, when i aligned DNA reads from a non infected human genome to a viral genome i got some reads aligning (i never went further to check why) so you might need some sort of filter to remove these anomalies (true negatives i think, no?)!
Comment
Latest Articles
Collapse
-
by seqadmin
The field of immunogenetics explores how genetic variations influence immune responses and susceptibility to disease. In a recent SEQanswers webinar, Oscar Rodriguez, Ph.D., Postdoctoral Researcher at the University of Louisville, and Ruben Martínez Barricarte, Ph.D., Assistant Professor of Medicine at Vanderbilt University, shared recent advancements in immunogenetics. This article discusses their research on genetic variation in antibody loci, antibody production processes,...-
Channel: Articles
11-06-2024, 07:24 PM -
-
by seqadmin
Next-generation sequencing (NGS) and quantitative polymerase chain reaction (qPCR) are essential techniques for investigating the genome, transcriptome, and epigenome. In many cases, choosing the appropriate technique is straightforward, but in others, it can be more challenging to determine the most effective option. A simple distinction is that smaller, more focused projects are typically better suited for qPCR, while larger, more complex datasets benefit from NGS. However,...-
Channel: Articles
10-18-2024, 07:11 AM -
ad_right_rmr
Collapse
News
Collapse
Topics | Statistics | Last Post | ||
---|---|---|---|---|
Started by seqadmin, Today, 11:09 AM
|
0 responses
24 views
0 likes
|
Last Post
by seqadmin
Today, 11:09 AM
|
||
Started by seqadmin, Today, 06:13 AM
|
0 responses
20 views
0 likes
|
Last Post
by seqadmin
Today, 06:13 AM
|
||
Started by seqadmin, 11-01-2024, 06:09 AM
|
0 responses
30 views
0 likes
|
Last Post
by seqadmin
11-01-2024, 06:09 AM
|
||
New Model Aims to Explain Polygenic Diseases by Connecting Genomic Mutations and Regulatory Networks
by seqadmin
Started by seqadmin, 10-30-2024, 05:31 AM
|
0 responses
21 views
0 likes
|
Last Post
by seqadmin
10-30-2024, 05:31 AM
|
Comment