dREG | Detecting Regulatory Elements using GRO-seq and PRO-seq | Genomics library
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Detecting Regulatory Elements using GRO-seq and PRO-seq
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QUESTION
I have an array that is as follows:
...ANSWER
Answered 2021-Dec-19 at 09:16You cannot have an object with two identical keys like
QUESTION
I would like to change Arduino Nano (ATMega328p) led pin (13 - PB5) state by triggering an External Interrupt (using pin INT0 - PD2) in AVR Assembly Code.
I am using Atmel's avrasm2 assembler to compile to .hex file. The code is:
...ANSWER
Answered 2021-Nov-27 at 21:23You used wrong instruction to save value to EIMSK. EIMSK isn't memory mapped. You should use out instruction
QUESTION
I've created side-by-side radio buttons and have tried to center them on my web page but one of the buttons doesn't move when I'm editing the margin sizes. I would like to move the left button more to the left.
My HTML code:
...ANSWER
Answered 2021-Aug-02 at 00:30Try this code. If this is not what you want, let me know.
QUESTION
I am trying to implement a calculator in flex/yacc that will also support real numbers ( i have not implemented them yet). But for some reason instead of printing the value of the expression my code only prints the type of the expression which is 1 for integers. Here's the flex file
...ANSWER
Answered 2021-May-15 at 08:30Each token and grammar rule can use only one value from the union and not the whole union as a struct.
QUESTION
I have data like this in my table in success column 1 -> success 0 -> failed
...ANSWER
Answered 2021-Jan-06 at 08:52Using conditional aggregation with boolean expressions we can try:
QUESTION
In my application all logged users are represented by a GenServer
, I call a UserAgent
, which basically keeps in memory the state of each user. All those processes are registered across the cluster in a distributed registry based on Horde with a unique ID. Whenever the user does some action, the client application sends the action to be performed along with the user_id
. On server side, the controller checks the parameters (mandatory, optional, syntax, etc) and eventually calls UserAgent.the_action(user_id, other_params)
. The the_action(...)
function simply sends a message to the server with the action to be performed: GenServer.call(via_tuple(id), {:the_action, params})
.
In some cases, the UserAgent
referenced by user_id
doesn't exist any more, for example because the user had been inactive for some time and the process had been cleaned out (the sesion had expired) or because parts of the cluster are not reachable at that moment (imaginary use case for the moment). In those situations the call GenServer.call(via_tuple(id), {:the_action, params})
results in the error below which also crashes the HTTP endpoint process (#PID<0.1359.0>
below) which in turn results in a 500
HTTP error (the dump
api call, well, dumps the state of a process for debug purposes):
ANSWER
Answered 2020-Sep-06 at 06:40This is how GenServer.call/3
handles errors in elixir. It nevertheless calls whereis/1
, so you might either call whereis/1
yourself or replicate logic from the code I linked or use Kernel.SpecialForms.try/1
to catch
the exception.
QUESTION
I'm trying to tweak my Kubernetes-based app to make it more development-friendly. I'm using kustomize
to add some extra containers into my app-deployment
. It looks like this:
ANSWER
Answered 2020-Jul-29 at 23:41No, Kuberentes mounts, unlike Docker mounts do not allow mounting one directory over the other. Potential VOLUME
lines from the Dockerfile
do not matter.
A common solution for your use-case is, to use an init container to set up the emptyDir, before the main container is started. So basically you specify the emptyDir
as a volume mount in both the init container and the main container and have the init container copy the files into the emptyDir
.
Additionally, there are two projects that offer different solutions to what you are trying to achieve:
Using one of those you would not need the custom rsync
and init container setup in your overlay.
QUESTION
I have a XML column in a SQL Server database that I need to be able to extract the data from, and spread into multiple columns in a SQL query. The table itself runs to multiple millions of rows of data.
The XML data is stored as:
...ANSWER
Answered 2020-Jul-29 at 17:37Try something like this to extract the separate XML elements under as separate values:
QUESTION
I have a college assignment to write an Assembler for a given hypothetical instruction set. I have implemented it, and when I am debugging, the std::find()
function I've implemented is giving weird results. Please help.
ANSWER
Answered 2020-Apr-11 at 11:08You are adding a null character to the tokens when you parse:
QUESTION
I am running an NMDS and have a few questions regarding the envfit()
function in the vegan package. I have read the documentation for this function and numerous posts on SO and others about vegan, envfit()
, and species scores in general.
I have seen both
envfit()
andwascore()
used to calculate species scores for ordination techniques. By default, metaMDS() useswascore()
. This uses weighted averaging, which I understand. I am having a harder time understandingenvfit()
. Doenvfit()
andwascore(
yield the same results? Iswascore()
preferable given that it is the default? I realize that in some situations,wascore()
might not be an option (ie. negative values), as mentioned in this post. How to get 'species score' for ordination with metaMDS()?Given that
envfit()
andwascore()
both seem to be used for species scores, they should yield similar results, right? I am hoping that we could do a proof of this here... The following shows species scores determined usingmetaMDS()
using the defaultwascore()
:
ANSWER
Answered 2020-Apr-09 at 23:15wascores()
and envfit()
give the same result?
No they do not give the same result as these are doing two quite different things. In this answer I have explained how envfit()
works. wascores()
takes the coordinates of the points in the nmds space and computes the mean on each dimension, weighting observations by the abundance of the species at each point. Hence the species score returned by wascores()
is a weighted centroid in the NMDS space for each species, where the weights are the abundances of the species. envfit()
fits vectors that point in the direction of increasing abundance. This implies a plane over the NMDS ordination where abundance increase linearly from any point on the plane as you move parallel to the arrow, whereas wascores()
are best thought of as optima, where the abundance declines as you move away from the weighted centroid, although I think this analogy is looser than say with a CA ordination.
The issue about being optimal or not, is an issue if you passed in standardised data; as the answer you linked to shows, this would imply negative weights which doesn't work. Typically one doesn't standardise species abundances — there are transformations that we apply like converting to proportions, square root or log transformations, normalizing the data to the interval 0-1 — but these wouldn't give you negative abundances so you;re less likely to run into that issue.
envfit()
in an NMDS is not necessarily a good thing as we wouldn't expect abundances to vary linearly over the ordination space. The wascores()
are better as they imply non-linear abundances, but they are a little hackish in NMDS. ordisurf()
is a better option in general as it adds a GAM (smooth) surface instead of the plane implied by the vectors, but you can't show more than one or a few surfaces on the ordination, whereas you can add as many species WA scores or arrows as you want.
The basic issue here is the assumption that envfit()
and wascores()
should give the same results. There is no reason to assume that as these are fundamentally different approaches to computing "species scores" for NMDS and each comes with it's own assumptions and advantages and disadvantages.
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