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Thread | Thread Starter | Forum | Replies | Last Post |
de novo transcriptome differential expression problem | slavailn | Bioinformatics | 6 | 05-18-2012 09:40 AM |
Differential expression from Transcript assembly | StopCodon | RNA Sequencing | 0 | 02-10-2012 03:55 AM |
RNA-seq data analysis with 40bp reads | heytreeful | Bioinformatics | 1 | 10-17-2011 10:30 PM |
Cufflinks 1.0.0: Major new features in assembly and differential expression | Cole Trapnell | Bioinformatics | 31 | 08-26-2011 11:54 AM |
GobyWeb web application for alignment and differential expression analysis | Fabien Campagne | Core Facilities | 0 | 11-04-2010 03:43 PM |
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#1 |
Junior Member
Location: Boston Join Date: Oct 2011
Posts: 6
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Hi everyone,
I am preparing to analyze some 40bp RNA-seq data generated by Illumina HiSeq from mouse samples. It seems that most RNA-seq tools nowadays are optimized for long sequence reads (>75bp) and paired-end reads. Can I still use TopHat and Cufflinks for these 40bp reads? Is it possible to perform transcriptome assembly with limited splice reads? Since the mouse genome is well annotated, can I get by without transcriptome assembly since the goal of our study is not to discover novel genes but just to detect differential expression of known genes? I am new to this; any suggestions/comments will be much appreciated! Thank you. |
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#2 |
Member
Location: boston Join Date: May 2012
Posts: 29
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Hi, fellow, is there any progress? I am stuck in the same dilemma.
The read length is too short, and we need to identify some novel transcripts. |
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#3 |
Junior Member
Location: Boston Join Date: Oct 2011
Posts: 6
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hey, yup you can still use the conventional analyses suite for 40bp reads. There are still some splice reads present to allow for junction identification and transcript construction. Surely the resolution wasn't as great as longer read runs, but it was sufficient for our research.
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#4 |
Member
Location: boston Join Date: May 2012
Posts: 29
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thanks! That is really comforting.
I had worried that the data and money might be wasted. |
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#5 |
Junior Member
Location: Boston Join Date: Oct 2011
Posts: 6
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it allowed us to detect presence of novel transcripts, but it didn't allow us to characterize them very well tho. Don't worry your data are not wasted
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