Originally posted by jsun529
View Post
Unconfigured Ad
Collapse
X
-
Thank you very much for all your help, since I am very new to this BFAST program, The program runs pretty fast and with the new version it runs pretty smoothly. For my test run on solid, when I use the sam tools to call variants, the result was not what I expected, I think it comes to both side, one is the samtools, another is I think more critical as how to create proper indexes, for snp and indels? Looks like with new version this is the only parameter left to the user? Thanks
Comment
-
The same parameters are available, they just now default to the recommended settings for whole-genome human resequencing. The indexes are important, and depend on read length, error rates, and polymorphism rate (snp and indel). What read length, error rate, platform, and polymorphism rate are you considering?Originally posted by jsun529 View PostThank you very much for all your help, since I am very new to this BFAST program, The program runs pretty fast and with the new version it runs pretty smoothly. For my test run on solid, when I use the sam tools to call variants, the result was not what I expected, I think it comes to both side, one is the samtools, another is I think more critical as how to create proper indexes, for snp and indels? Looks like with new version this is the only parameter left to the user? Thanks
Comment
-
Hi Nils,
I found Bfast challenging to get into as well. I saw that as someone who has been using Maq, Mosaik, Bowtie and so on for quite some time now.
There is plenty of detail in the manual but the program expects you to set parameters right from the off, without any suggestion of defaults. Now it may well be this is complicated and reference dependent, but to encourage users I would strongly recommend
a) a short sample reference, say a genomic island or 500k of a genome
b) a few reads which can be mapped onto this.
There is plenty of public data about now.
Then I would have a group of command lines in place of the "quick tutorial" links.
For users unfamiliar with installing from c source instructions could be provided as well.
I m sure potential users would appreciate the effort involved in doing this
Colin
Comment
-
Great suggestions! What was the last version you used? I say that because an overhaul was made between 0.5.x and 0.6.x to improve the user interface, manual, and set default/recommended parameters.Originally posted by colindaven View PostHi Nils,
I found Bfast challenging to get into as well. I saw that as someone who has been using Maq, Mosaik, Bowtie and so on for quite some time now.
There is plenty of detail in the manual but the program expects you to set parameters right from the off, without any suggestion of defaults. Now it may well be this is complicated and reference dependent, but to encourage users I would strongly recommend
a) a short sample reference, say a genomic island or 500k of a genome
b) a few reads which can be mapped onto this.
There is plenty of public data about now.
Then I would have a group of command lines in place of the "quick tutorial" links.
For users unfamiliar with installing from c source instructions could be provided as well.
I m sure potential users would appreciate the effort involved in doing this
Colin
There is a quick tutorial at the end of the manual giving examples and the recommended parameters (the program now has defaults). Does this address the issue?
Comment
Latest Articles
Collapse
-
by SEQadmin2
CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).
Despite this, “CRISPR helped turn genome editing from a specialized technique into...-
Channel: Articles
07-31-2026, 11:01 AM -
-
by SEQadmin2
Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.
The systematic characterization of the human proteome has...-
Channel: Articles
07-20-2026, 11:48 AM -
-
by SEQadmin2
Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
...-
Channel: Articles
07-09-2026, 11:10 AM -
ad_right_rmr
Collapse
News
Collapse
| Topics | Statistics | Last Post | ||
|---|---|---|---|---|
|
Started by SEQadmin2, Yesterday, 10:13 AM
|
0 responses
14 views
0 reactions
|
Last Post
by SEQadmin2
Yesterday, 10:13 AM
|
||
|
Started by SEQadmin2, 07-31-2026, 02:55 AM
|
0 responses
29 views
0 reactions
|
Last Post
by SEQadmin2
07-31-2026, 02:55 AM
|
||
|
Started by SEQadmin2, 07-24-2026, 12:17 PM
|
0 responses
22 views
0 reactions
|
Last Post
by SEQadmin2
07-24-2026, 12:17 PM
|
||
|
Started by SEQadmin2, 07-23-2026, 11:41 AM
|
0 responses
21 views
0 reactions
|
Last Post
by SEQadmin2
07-23-2026, 11:41 AM
|
Comment