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16  décembre     13h11
Comment: Running Purge dups on Hifiasm assemblies.
   You’re right They look identical before and after purging. And, as GenoMax mentioned, since the number of chromosomes is closer to 18, then I’d say that you should keep the purged assembly (which hasn’t lost anything important in terms of BUSCOs and k-mer completeness). It’s just weird that the...
    12h24
Answer: Different alternatives for downloading GWAS summary statistics en masse
   Hopefully you have your answer by now, but in case not: The NHGRI-EBI GWAS Catalog is by far the biggest resource of human GWAS summary statistics. Several of the other resources you might find, such as the IEU Open GWAS Catalog, the Knowledge Portal Network (https: kp4cd.org ), and GWAS Central,...
15  décembre     22h43
Comment: Bioinformatics Specialist (Infrastructure Focus)
   Title should say software infrastructure focus since plain infrastructure would generally be hardware related :-)
    20h25
Comment: Bioinformatics Specialist (Infrastructure Focus)
   Hi Madelaine. Do you know if they sponsor a Visa for international applicants?
    19h35
Bioinformatics Specialist (Infrastructure Focus)
   The Stowers Institute has an opening for a [Bioinformatics Specialist][1] to assist the Computational Biology core facility with biological data processing and analysis. The Bioinformatics Specialist will use computational tools to process, transform, visualize, and analyze datasets primarily...
    17h26
Comment: Running Purge dups on Hifiasm assemblies.
   I made a special program that automatically finds the optimal value of -l of Hifiasm (https: github.com shelkmike Mabs).
    15h36
Merging RNA modifications with transcript features.
   I would like some clarification on how to correctly intersect RNA modifications with transcript features. I have a bed file with extracted modifications from modkit. I would like to intersect these modifications with transcript feature beds like cds.bed, 3utr. bed (extracted from gtf file). How do...
    15h07
FastDup: A scalable, high-performance duplicate marking tool (20x faster than Picard with identical results)
   Hello everyone, We are excited to introduce FastDup, a new high-performance tool for marking duplicate reads in NGS data, recently published in Bioinformatics. Duplicate marking is a critical step in variant calling pipelines (e.g., GATK Best Practices), but standard tools like Picard...
    13h55
Comment: GSEA single cell
   Hi. I am looking for paper or justification about using : sign(log2Fold ) -log10(pvalue) Do you have any ? Thanks
    13h47
Comment: Running Purge dups on Hifiasm assemblies.
   Hi panos I ran Hifiasm with mostly the default options hifiasm -o asmOUT sample hifiasm -t 48 --n-hap 1 --telo-m TTAGGG PB01.fastq I see on Hifiasm github the details for -l option you mentioned and it says Level of purge-dup. 0 to disable purge-dup, 1 to only purge contained haplotigs, 2 to purge...
    13h18
Comment: Running Purge dups on Hifiasm assemblies.
   typically 11 are core and some accessory ( in reference they are 4 but some strains can have more or less than 4) and during comperative analysis with reference (after purge dups) the remaining do align exactly to the known core and accessory chromosomes. so i was kind of really happy that i got...
    13h00
Answer: Running Purge dups on Hifiasm assemblies.
   In the hifiasm github, they specifically mention that Hifiasm does automatic purging of the duplicated haplotigs. What you might want to do instead, is make the built-in PurgeDups algorithm more aggressive by changing the -l parameter. I haven’t tried it though, so I don’t know what the result will...
    12h57
Comment: Running Purge dups on Hifiasm assemblies.
   How many chromosomes do you expect for this organism? Is 18 is more or less in-line than 122?
    12h29
Running Purge dups on Hifiasm assemblies.
   HI, I have this nieve question which is causing some confusion. Is it a good idea to run Purge dups on PacBIo Hifi reads based assemblies generated with Hifiasm. In hifiasm assmebly log file i see some tags like [M::purge dups] and a quick Chat-Gpt search suggested that i don’t need to run it...
    09h18
Identifying sequence motifs associated with base editing efficiency and mis-editing
   Hi all, I have a dataset from a base editing experiment where some spacers show efficient editing, while others show little or no editing. In addition, among the edited sites, some show the intended conversion (e.g. A to G), whereas others show unintended or mis-editing events (e.g. A to C or A to...
    08h02
Comment: Expected behavior of Salmon with --numGibbsSamples 100?
   There is gene- and transcript level. Gene level means that your counts are for genes not transcripts. Methods like STAR featureCounts give gene level counts right away. Then there are the trascript quantifiers, such as salmon, kallisto, stringtie, etc, that give transcript abundances. This can be...
    06h20
GDCprepare() fails for TCGA-LAML: Error in dplyr::select - Column disease response doesn’t exist
   Hello, I am trying to download and prepare RNA-seq data from the TCGA-LAML project using the TCGAbiolinks package in R. The GDCquery and GDCdownload steps work, but GDCprepare fails with an error about a missing disease response column. The code I ran: library(TCGAbiolinks) query <- GDCquery...
    03h17
Common motif sequence from HOMER, MEME
   Hello is there any one who know’s how we can find out the common consensus motif region from a list of HOMER identfied sequences and MEME analysis.. Thank You
    02h13
Answer: Expected behavior of Salmon with --numGibbsSamples 100?
   edgeR’s catchSalmon function automatically reads the aux info files on the fly. You do not need to parse these files yourself. You just give catchSalmon the name of the directory containing the Salmon output, and it does the rest. However, if you are working with a poorly annotated organism, and...
    00h49
Comment: Expected behavior of Salmon with --numGibbsSamples 100?
   Ah, so improving on the transcript level will not also improve on gene level. I guess that would make sense since all of the reads would just go to the gene - it wouldn’t matter at all how they are subdivided among transcripts. My transcripts were reconstructed using stringtie, so I wouldn’t place...
14  décembre     22h04
Answer: Expected behavior of Salmon with --numGibbsSamples 100?
   Yes; this is the expected behavior. The Gibbs samples for salmon are stored in a binary format.
    18h29
Comment: Separating stubborn fibroblasts from epithelial cells in primary lung cancer cul
   Reddit r cellculture and r labrats is the go-to. StackExchange is quite mess these days.
    14h12
Comment: Separating stubborn fibroblasts from epithelial cells in primary lung cancer cul
   This forum is focused on bioinformatics issues so this question is off-topic for this forum. While someone may answer, please post this question over in an experimental biology forum, biology stackexchange or relevant reddit.
    14h04
Separating stubborn fibroblasts from epithelial cells in primary lung cancer cultures
   Hello everyone, I am working on establishing primary cultures from human lung cancer tissue samples (patient-derived cells, PDCs). A common challenge I face is the mixed outgrowth of both epithelial (presumably tumor) cells and fibroblasts in the same flask. I have tried differential trypsinization...
    10h53
Comment: Expected behavior of Salmon with --numGibbsSamples 100?
   and I read that using Gibbs sampling improves EdgeR’s ability to correction for dispersion ...on transcript level, are you aware of that? Not on gene level, and 99% of DE analysis are done on gene level, so not resolved by transcripts per gene. Do you really want and need transcript level, as it is...