refTrans #148
Open
refTrans #148
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
…embly and editting the indicies files
…ave another version for amazon. update the m-quality and model-orgs files accordingly. 2. add the image of RNAseq analysis model. 3. apply the literate-resting roles to these files
…d design issues in the other files
…lel qsub of TopHat jobs
| ---- | ||
|
|
||
| Because we have multiple RNA-Seq libraries, It is recommend that you merge these assemblies into a master transcriptome. | ||
| This step is required for a differential expression analysis of the new transcripts we�ve assembled. |
|
I tried to fetch all the files for non-ASCII characters using |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This is a protocol for reference based transcriptome assembly. Materials are based on and extending two workshops given at MSU by Titus Brown and Matt Scholz on Dec 4/5 ad Dec 10/11. Both workshops were sponsored by iCER and made use of the MSU High Performance Compute Center.