Latest
Open
Jobs
Tutorials
Tags
About
FAQ
Community
Planet
New Post
Log In
New Post
Latest
Open
News
Jobs
Tutorials
Forum
Tags
Planet
Users
Log In
Sign Up
About
Limit : this year
all time
today
this week
this month
this year
0 results • Page
1 of 1
Sort: Rank
Rank
Views
Votes
Replies
Topic contains no posts.
No posts found.
0 results • Page
1 of 1
Recent Votes
Comment: MA plot of shrunken fold change
Answer: Single-stranded RNA-seq: strandedness of samples
Comment: NGS forensics: how to know if data is fabricated
Answer: blasting genome contigs against local SILVA 16S RNA database
blasting genome contigs against local SILVA 16S RNA database
Comment: Integrate transcriptomic data and proteomics data.
Comment: MA plot of shrunken fold change
Recent Locations •
All
India,
just now
Spain,
2 minutes ago
Tunisia,
3 minutes ago
Marseille,
3 minutes ago
Germany,
4 minutes ago
European Union,
6 minutes ago
Netherlands,
7 minutes ago
Recent Awards •
All
Popular Question
to
miles.anderson
▴ 10
Popular Question
to
kamhamea
• 0
Teacher
to
ATpoint
82k
Popular Question
to
fanglujing
▴ 60
Commentator
to
Philipp Bayer
8.4k
Teacher
to
geneontologyhelp
▴ 390
Popular Question
to
elcortegano
▴ 200
Recent Replies
Comment: unable to get feature count results
by
GenoMax
141k
Galaxy specific questions are best posted to their support site: https://help.galaxyproject.org/ That said, problems with counting are lik…
Comment: Landmark gene selection in L1000.
by
GenoMax
141k
Link for the data is included above.
Comment: Introduce SNPs on FASTA
by
GenoMax
141k
If you have specific changes you want to make then you can edit the fasta file accordingly.
Answer: Taking the difference of two VCFs (or removing singletons)
by
Andres
▴ 20
I know this is an old question but when searching for filtering out singletons(and doubletons too) i found this post in the first results. …
Comment: NGS forensics: how to know if data is fabricated
by
i.sudbery
19k
In which case, I'd definately look at the distribution of read lengths, post trimming, and see if there is a discontinuity in the distribut…
Comment: Low mapping rate with Salmon
by
i.sudbery
19k
I would note that even on a good, polyA selected, RNA-seq run, I would only expect 60-75% of mapped reads to map to protein coding exons.
Answer: FINAL CALL: 8th Berlin Summer School in NGS Data Analysis - Only a few last plac
by
David Langenberger
11k
:: FINAL CALL :: 8th Berlin Summer School in NGS Data Analysis 2024 - Only a few last places available
Comment: Low mapping rate with Salmon
by
Patadu94
• 0
Oh, then I will check the output file from featureCounts.
Comment: Low mapping rate with Salmon
by
Patadu94
• 0
How would I check if these reads are aligning to regions where there is no expressed sequence know? Should I follow the suggestion of i.sud…
Answer: Deseq2
by
Jack Tierney
▴ 360
[This vignette][1] is a great place to start. [1]: https://bioconductor.org/packages/devel/bioc/vignettes/DESeq2/inst/doc/DESeq2.ht…
Comment: Genbank File Format
by
alenew.am
• 0
Thanks, yes i have tried first here looking for a easier solution (for me), i didnt' know if this format was already available somewhere. t…
Comment: Genbank File Format
by
alenew.am
• 0
Yes, it would be fine with an external solution, thanks for the reply
Answer: Polishing genome assembly
by
Michael
54k
If you have Hifi reads your error rate should already be quite good, therefore polishing with potentially longer and slightly more error-pr…
Comment: Integrate transcriptomic data and proteomics data.
by
Lluís R.
★ 1.2k
You don't need to subset for common features, there are tools that work for that like RGCCA, mixOmics. See for instance a classification [h…
Answer: Integrate transcriptomic data and proteomics data.
by
KABILAN
▴ 50
You can use R package named 'mixOmics' to integrate the datasets. Kindly go through the manual of this package.
Traffic: 2305 users visited in the last hour
Content
Search
Users
Tags
Badges
Help
About
FAQ
Access
RSS
API
Stats
Use of this site constitutes acceptance of our
User Agreement and Privacy Policy
.
Powered by the
version 2.3.6