scallop | Scallop is a reference-based transcriptome assembler | Genomics library
kandi X-RAY | scallop Summary
kandi X-RAY | scallop Summary
Scallop is an accurate reference-based transcript assembler. Scallop features its high accuracy in assembling multi-exon transcripts as well as lowly expressed transcripts. Scallop achieves this improvement through a novel algorithm that can be proved preserving all phasing paths from reads and paired-end reads, while also achieves both transcripts parsimony and coverage deviation minimization. Scallop paper has been published at Nature Biotechnology. The datasets and scripts used in this paper to compare the performance of Scallop and other assemblers are available at scalloptest. Please also checkout the podcast about Scallop (thanks Roman Cheplyaka for the interview). It is available at both the bioinformatics chat and iTunes.
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Trending Discussions on scallop
QUESTION
I'm trying to re-use a regex I'm using to parse another file. This file has some commented rows, and I need to make sure the commented rows aren't captured.
This is the string being parsed:
...ANSWER
Answered 2022-Feb-22 at 04:52Not a robust solution, it does work for the code currently posted but I do not assure this will work with the actual code you might test it on.
The regex expects a single string, hence, when testing this with your file, make sure you're using the -Raw
switch.
See https://regex101.com/r/l0RLPw/2 for details.
QUESTION
I have a dataframe containing observations of scallop presence/absence across multiple sites. I would like to count the number of scallops per site, using the UID (unique identifier) and the presence/absence column (binary: 0 is absent, 1 is present).
My dataframe looks like this:
UID Present.Absent Size.cm binary A-10-2021 Present 4.60 1 A-10-2021 Present 6.0 1 A-11-2021 Present 4.70 1 A-11-2021 Present 4.8 1 A-4-2021 Absent NA 0 A-5-2021 Present 5.90 1 A-5-2021 Present 6.00 1 A-5-2021 Present 6.00 1 A-5-2021 Present 3.90 1 A-5-2021 Present 5.00 1 A-6-2021 Absent NA 0and it goes on for about ~6000 observations, with about 1500 different UIDs
I am new to R, and wasn't sure how to go about this. Is there a way to have it so there's one row per UID, with a column of abundance data? Any help is much appreciated, and if any additional information would help, I am happy to provide. Thank you!
Edit: added sample of data ; first 10 rows
...ANSWER
Answered 2022-Mar-08 at 15:27You can use group_by() to achieve that:
QUESTION
I'm trying to deploy a CNN model created using Tensorflow to Heroku with FastAPI. The app runs on Heroku but returns an error when trying to make model predictions. Running heroku logs --tail
returns this:
ANSWER
Answered 2022-Feb-17 at 08:30This error usually occurs when JSON attempts to convert a NaN value and fails to do so. Probably, tensorflow returns NaN at some point. I would advise you to try debugging by looking for a NaN value
QUESTION
I'm taking the Codecademy Javascript course. I'm tasked with making a menu. I just learned about objects and I'm still a little fuzzy on the distinction between methods and properties right now. I've been following along to their video trying to debug my code but as far as I can tell it should function the same, if not be exactly the same.
...ANSWER
Answered 2021-Sep-12 at 07:54Your variable name is appetizer
QUESTION
when I run my tests in Intellij idea choosing code coverage tool as JaCoCo and include my packages I see I get 80% above coverage in the report but when I run it using maven command line I get 0% in JaCoCo report below are two questions.
can I see what command Intellij Idea Ultimate version is using to run my unit tests with code coverage ?
Why my maven command mvn clean test jacoco:report is showing my coverage percentage as 0%.
This is a Scala maven project.
My POM.xml file:-
...ANSWER
Answered 2021-Feb-03 at 22:16Assuming that you are using JaCoCo with cobertura coverage you need to declare the dependencies and the plugin to run the command mvn cobertura:cobertura
.
QUESTION
I have around 70 categories (it can be 20 or 30 also) and I want to be able to parallelize the process using ray but I get an error:
...ANSWER
Answered 2021-Feb-18 at 01:31This error is happening because of sending large objects to redis. merged_df
is a large dataframe and since you are calling get_meal_category
10 times, Ray will attempt to serialize merged_df
10 times. Instead if you put merged_df
into the Ray object store just once, and then pass along a reference to the object, this should work.
EDIT: Since the classifier is also large, do something similar for that as well.
Can you try something like this:
QUESTION
I have two Tables like : Table1:
...ANSWER
Answered 2021-Feb-07 at 18:03Try the following
QUESTION
I have a modal that contains many different items(Menu items). I want to make it so when I click the heading of any specific menu item, another modal pops-up showing the image of said dish. The only issue I run into, is that I would have to create a ton of different modals for each item dish(15 of them). IS there a way I can create a function/loop fthem so they only access a soecific image attatched to said item? Should I create a seperate container for the images? Or add them to the item containers themselves and set the display to none?
Here is an example without much css or the JS with it? Any thoughts of the best way to tackle this?
...ANSWER
Answered 2020-Jun-26 at 18:02You don't need a separate modal for each image. You just need a one modal that will display different images.
Using javascript, you need to add a click event listener to the container of all the items. When any items is clicked, get the src
attribute of the img
element associated with that item and set this src
attribute as the src
attribute of the img
in the modal.
Here's a demo in which i have 3 images which are displayed in a modal one at a time depending on which image label you clicked on.
QUESTION
When upgrading from KafkaStreams library from 2.3 to 2.5, keeping the same Scala version, it breaks when running with the following error:
...ANSWER
Answered 2020-Jun-16 at 11:10I just had to upgrade my Scala version to the one published in the "Compiled Dependencies" section here, which is:
QUESTION
I'm trying to figure out the best way to plot mean CPUE for the top 5 most abundant species by year. I was able to plot these all separately, but it requires a lot of code and gets messy and I can't figure out how to get them all on the same figure.
This is a subset of my data
...ANSWER
Answered 2020-May-24 at 06:58Get the most common species according to mean CPUE value over all years
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Install scallop
If Boost has not been downloaded/installed, download Boost (license) from (http://www.boost.org). Uncompress it somewhere (compiling and installing are not necessary).
If htslib has not been installed, download htslib (license) from (http://www.htslib.org/) with version 1.5 or higher. Note that htslib relies on zlib. So if zlib has not been installed in your system, you need to install zlib first. To do so, download zlib (license) at (https://zlib.net/). Use the following commands to install zlib:.
NOTE: Clp will be used to solve the linear programming instances created when decomposing unsplitable vertices. An alternative algorithm is provided in Scallop from version v0.10.4 (and hence since then the installation of Clp becomes optional). Our testing shows that these two algorithms give very similar results. If Clp has not been installed in your system, download Clp (license) from (https://projects.coin-or.org/Clp). Use the following to install Clp.
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