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Tutorial:
Clustering of DAVID gene enrichment results from gene expression studies
enrichment
david
25 days ago by
Kevin Blighe
88k
5
votes
13
replies
2.0k
views
Tutorial:
Installing/switching between versions of R/Rstudio/Bioconductor on personal machine (Linux | Ubuntu)
R
Ubuntu
Linux
Bioconductor
Rstudio
updated 29 days ago by
ATpoint
82k • written 4 weeks ago by
BioinfGuru
★ 1.7k
5
votes
5
replies
677
views
Tutorial:
how to combine multiple RNAseq count files into a single dataframe in R and unix
Unix
RNAseq
R
updated 16 days ago by
Mbofire
• 0 • written 25 days ago by
Ming Tommy Tang
★ 3.9k
7
votes
1
reply
212
views
Tutorial:
removeBatchEffect explained using base R linear models
limma
effects
batch
removebatcheffects
updated 12 days ago by
dariober
14k • written 12 days ago by
nhaus
▴ 360
4 results • Page
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Answer: How to find tandem duplications pattern in a DNA sequence
A: How To Split One Big Sequence File Into Multiple Files With Less Than 1000 Seque
C: Snakemake vs. Nextflow: strengths and weaknesses
Answer: workflow management system : WDL, CWL, Ruffus, SnakeMake, etc
Sequence alignment on split read event such as inversion, duplication and complex nested events.
ICGEB - SLIBTEC NGS Workshop: Won Best Oral Presentation Award
Comment: Add stats to the plot
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Comment: GO analysis: p-value range
by
marco.barr
▴ 130
Try adding: `scale_y_continuous(breaks=seq(0, max_count, by=0.05))`
Comment: Functional enrichment analysis for unique gene IDs
by
ATpoint
82k
If these genes do not have a symbol then it is utterly unlikely that anyone has looked at their function. I would get their Ensembl IDs and…
Comment: Add stats to the plot
by
marco.barr
▴ 130
The error is likely due to the fact that the structure of your data in data4.ts and data2.ts may not contain the Condition values. The grou…
Comment: How to find identical sequences in genome fasta file (by Python or any possible
by
Pierre Lindenbaum
161k
+ https://www.biostars.org/p/3003/ + https://www.biostars.org/p/9550118/ + https://www.biostars.org/p/158148/
Answer: How to find tandem duplications pattern in a DNA sequence
by
micah
▴ 30
I built a web application can directly find repeat unit and repeat times, try it at http://64.64.240.35:8050/. ![Dot plot][1] ![5 tandem …
Comment: What marks a De-Novo Genome assembly as FAILED?
by
nd48
▴ 20
I would urge you to consider different approaches for benchmarking before deciding on one. In particular, I found that assembling long read…
Comment: BiomartException: Query ERROR for existing dataset in BioMart
by
Luqman
• 0
I am using *pybiomart* which has Server inplace of BiomartServer, I used that as per above but still getting the same error. Also, when I a…
Comment: Blastn, need help to increase speed
by
m13113153781
• 0
mmseq2 is indeed a good acceleration solution, but its index files require ~ 6 T space....
Answer: seqtk subseq in.fastq list.txt > out.fastq not extracting full sequence from
by
KHURRAM SHAHZAD
• 0
Thank you it works
Answer: Add stats to the plot
by
Ghada
• 0
I think this is what caused the error. we do not have group 1 and 2 in the statistical test results???? ![enter image description here][…
Comment: scRNA-seq data trained model can be used for predictions on bulk RNA-seq data?
by
Bibi
• 0
@atpoint thanks you for your timely response. Can someone else shed light if we can compare the trend of DEGs using the scRNA and Bulk RNA…
Comment: Add stats to the plot
by
GenoMax
142k
Please use `101010` to format `code` so it is represented in monospace font. I have done this for you now.
Answer: is there a tool to recover corrupted fastq files
by
Tommaso
• 0
You may also want to give a try to **FastqWiper** (https://github.com/mazzalab/fastqwiper)
Comment: Add stats to the plot
by
Ghada
• 0
Thanks. That helpful. I am getting this error data4_test <- data4.ts%>% ungroup() %>% t.test(data =.,value ~ Condition)%>% + …
Comment: scRNA-seq data trained model can be used for predictions on bulk RNA-seq data?
by
ATpoint
82k
I cannot comment here. You are asking why results between two experiments are different. I do not know without seeing the data.
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