Kevin L. Keys

Perhaps not? This idea is covered in issues [#6195](https://github.com/JuliaLang/julia/issues/6195) and [#15705](https://github.com/JuliaLang/julia/issues/15705) in Julia Base. It appears that some problems include [recompilation](https://github.com/JuliaLang/julia/issues/265) of the module and a [revamp of type stability...

@juliohm it seems to work in my case. Thank you for the workaround!

> For scATAC alone, you could use cellranger itself. is this still true? it seems like you need `cellranger-atac`, whereas `cellranger-arc` handles the multiome data scATAC data support should work...

looks like @Emiller88 resolved this, closing for now

I noticed that this package was listed for [Julia GSOC 2016](http://julialang.org/soc/ideas-page.html#native-julia-implementations-of-iterative-solvers-for-numerical-linear-algebra). Mike Innes [suggested](https://groups.google.com/forum/#!topic/julia-users/dfJ0kiHVe1w) that I pipe up here if I wanted to help. Is anybody here able and willing...

Is this in reference to Section 2.5 of the `glmnet` [reference paper](https://www.jstatsoft.org/article/view/v033i01/v33i01.pdf)? The `glmnet` guys use the maximum of `x' * y` with standardized copies of `x` and `y`.

Presumably we could do `A_mul_B!(output1, x.A1, b)` followed by `A_mul_B!(output2, x.A2, b)` and `output = output1 + output2` if we are not interested in standardizing anything.

I see that there are routines `Acsc_mul_B!` and `Acs_mul_B!` which look like `A_mul_B!` and `At_mul_B!`. I move to close this issue. note for future refernce that Julia v0.7 does away...

> Another friendly ping here -- any chance this builds now on Py 3.13+? +1

was this feature ever implemented? as far as I can tell, MultiQC [ostensibly supports `bbsplit` `refstats` output](https://multiqc.info/docs/#bbmap). but there is no record of `refstats` support in [`bbmap_filetypes.py`](https://github.com/ewels/MultiQC/blob/master/multiqc/modules/bbmap/bbmap_filetypes.py) for what it's...