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jfaberha
jfaberha
Reputation:
50 (New)
Joined:
8.6 years ago
Last seen:
8 months ago
Location:
United States
Latest posts by user
0 votes
0 replies
390 views
Statistical test to look for peak differentiation between two manhattan plots
statistics glm popgen r manhattan
written by jfaberha 5
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0 replies
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Comment: Comment: Help selecting WGCNA soft thresholding power
written by jfaberha 5
0 votes
1 reply
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Comment: Comment: Help selecting WGCNA soft thresholding power
written by jfaberha 5
0 votes
0 replies
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Comment: Comment: Help selecting WGCNA soft thresholding power
written by jfaberha 5
0 votes
1 reply
0 views
Comment: Comment: Help selecting WGCNA soft thresholding power
written by jfaberha 5
0 votes
1 reply
0 views
Comment: Comment: Help selecting WGCNA soft thresholding power
written by jfaberha 5
0 votes
1 reply
0 views
Comment: Comment: Help selecting WGCNA soft thresholding power
written by jfaberha 5
0 votes
1 reply
0 views
Comment: Comment: Help selecting WGCNA soft thresholding power
written by jfaberha 5
1 vote
15 replies
11K views
Help selecting WGCNA soft thresholding power
rna-seq r wgcna transcriptome
written by jfaberha 5
0 votes
1 reply
1.4K views
Physical phasing of polyploid SNPs from RNA-seq data
gatk phasing transcriptome haplotype polyploid
updated by colindaven 844 • | written by jfaberha 5
0 votes
0 replies
722 views
Differentiating alleles from paralogs in comparison of transcriptomes within species
clustering transcriptome paralog trinity assembly
written by jfaberha 5
0 votes
1 reply
0 views
Comment: Comment: Efficient way to perform fastq filtering of contaminants by read name prior to t
written by jfaberha 5
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1 reply
0 views
Comment: Comment: Efficient way to perform fastq filtering of contaminants by read name prior to t
written by jfaberha 5
0 votes
5 replies
3.4K views
Efficient way to perform fastq filtering of contaminants by read name prior to transcriptome assembly?
trinity bbmap transcriptome filtering assembly
updated by GenoMax 16K • | written by jfaberha 5
0 votes
1 reply
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Comment: C: Is my WGCNA soft threshold (power) too low?
written by jfaberha 5
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1 reply
0 views
Comment: C: Is my WGCNA soft threshold (power) too low?
written by jfaberha 5
0 votes
5 replies
7.0K views
Is my WGCNA soft threshold (power) too low?
wgcna rna-seq clustering network
written by jfaberha 5
1 vote
0 replies
0 views
Answer: A: WGCNA - consensus analysis - cutreeStatic - no samples selected
written by jfaberha 5
3 votes
0 replies
1 view
Answer: A: Hard vs soft masked references while aligning with STAR
updated by GenoMax 16K • | written by jfaberha 5
0 votes
0 replies
2.0K views
How to run differential expression analysis on RNA-seq with fragmented transcripts?
rna-seq differential expression annotation
written by jfaberha 5
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