SV2 | Support Vector Structural Variation Genotyper | Genomics library
kandi X-RAY | SV2 Summary
kandi X-RAY | SV2 Summary
Support Vector Structural Variation Genotyper. Danny Antaki, William M Brandler, Jonathan Sebat; SV2: Accurate Structural Variation Genotyping and De Novo Mutation Detection from Whole Genomes, Bioinformatics, , btx813, SV2 filters and integrates structural variants from multiple calling algorithms. Given multiple samples, SV2 creates a genotype matrix. SV2 also provides annotations for genes, repeat elements, and common SVs for filtering post-genotyping.
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Top functions reviewed by kandi - BETA
- Find data files in srcdir
- Wrapper around opjoint
- Write a VCF file to a VCF file
- Check for overlapping elements
- Load genotypes
- Load 1k genome annotation files
- Tokenize a tuple
SV2 Key Features
SV2 Examples and Code Snippets
$ pip install sv2
# download required resource files
$ sv2 -download
# define fasta locations
$ sv2 -hg19 /full/path/to/hg19.fa [-hg38 hg38.fa -mm10 mm10.fa]
$ sv2 -i in.bam -v sv.vcf -snv in.vcf.gz -p in.ped
#http://stackoverflow.com/a/31674731/2901002
d = {k: oldk for oldk, oldv in categories_dict.items() for k in oldv}
df['type'] = df['type'].apply(lambda x: tuple([d[y] for y in x.split(';') if y in d]))
print (df)
place t
data = [{'place': 'sometown', 'type': 'α-RXⅡ;α-R'},
{'place': 'sometown', 'type': 'NYC-iA-SV2;NX-SH'}]
df = pd.DataFrame(data)
category_dict = {'phone': ['NYC-iA-SV2', 'NX-SH', 'NX2-S', 'NX2-M', 'NX2-L', 'NYC-iA'],
'UTM': ['α-RXⅡ', 'α-R'
import matplotlib.pyplot as plt
from feynman import Diagram
# Set up diagram
fig = plt.figure(figsize=(10.,10.))
ax = fig.add_axes([0,0,1,1], frameon=False)
diagram = Diagram(ax)
# Mirror line
m1 = diagram.vertex(xy=(.1,.5), marker='')
m
# your word list
words = ['one','beam','electron','electron-beam','focused',\
'generation','relativistic','requirements','sample','stringent','ultrafest']
# randomly assinging cluster for the purpose of demonstration
svd_df['Cluster'] = [
discard_id = 5
m = (df[['sv1','sv2','sv3']] == discard_id).any(axis=1)
sum1 = df[['val1','val2','val3']].sum(axis=1)
sum2 = df[['val2','val3']].sum(axis=1)
df['new'] = np.where(m, sum2, sum1)
print (df)
sv1 val1 sv2 val2 sv3 val
import collections
import copy
def deep_dict_merge(dct1, dct2, override=True) -> dict:
"""
:param dct1: First dict to merge
:param dct2: Second dict to merge
:param override: if same key exists in both dictionaries, sho
from pyspark.ml.linalg import Vectors, VectorUDT
def xByY(x,y):
res = np.multiply(x,y).tolist()
vec_args = len(res), [i for i,x in enumerate(res) if x != 0], [x for x in res if x != 0]
return Vectors.sparse(*vec_args)
Community Discussions
Trending Discussions on SV2
QUESTION
I have copied code from Bjarne Stroustrup's A Tour of C++ to test out string views but I keep getting error:
...ANSWER
Answered 2022-Feb-10 at 05:11Yes, this seems to be wrong.
The line
QUESTION
I tried to transpose the column data into row. But this code is transposing to only one row. For example: In my code, only the data that is in the first row of Column3 Column4 Column5 Column6 of sheet 1 (I J K L) is being transferred to the first row of row1 row2 row3 row4 of sheet 2. With this, the data contained in Column1 and Column2 of sheet 1 (A B C D E) (F G H) is being transferred to the first row of row2 row5 row6 row7 row8 row9 row10 row10 row11 row12 of sheet 2. But the problem is, the data in the second row of Column3, Column4, Column5 of Sheet 1 (M N O P) is transferred to the second row of row2, row2, row3, row4 of Sheet 2, but the data in Column1 and Column2 of Sheet 1 (A B C D E) (F G H) it is not being moved to the second row of sheet2 row5 row6 row7 row8 row9 row10 row10 row11 row12. However, if you run the script a second time, the same thing is happening again. Now all I want is to move the data that is in (A B C D E) (F G H) in Column1 and Column2 of sheet 1 to the first row of row 2 row5 row6 row7 row8 row9 row10 row10 row11 row12 and the second row to the second row (M N O P).
...The data contained in columns 1 and 2 of sheet 1 should be transposed to sheet 2 along with the data from columns 3 to 6 each time the script is being executed.
ANSWER
Answered 2021-Dec-21 at 19:42QUESTION
I recently noticed that my live wallpaper apps are crashing when users try to set the newly introduced "Theming Icons" functionality on Android 12. This new functionality calculates a palette of colors from the user's current static wallpaper and uses this palette to color some of the other apps icons (a feature of the new "Material You" design). But for some reason when it operates on a live wallpaper it crashes the app with the following log:
...ANSWER
Answered 2021-Nov-30 at 22:05For a while I was looking for a similar problem in reviews of popular live wallpapers. I found similar reviews only for one application. I updated my phone today. All my live wallpapers stopped working as expected. Then I installed "Earth & Moon" and this app works fine. It means that we are doing something wrong or, on the contrary, we are not doing something :) In the near future I will begin to investigate this problem.
QUESTION
I'm using build_runner package in my flutter app for JSON serialization. I've correctly installed it in pubspec.yaml
file under dev dependencies
. but when I try to use flutter pub run build_runner build
it releases the following.
ANSWER
Answered 2021-Nov-28 at 11:27It's interesting that it points to .dart_tool/flutter_gen/pubspec.yaml
. This issue mentions this problem when generate: true
is set in the pubspec.yaml
.
If you don't need that, try removing it. Also, a flutter clean
and flutter pub get
might be necessary.
QUESTION
The below code (needs google benchmark) fills up two vectors and adds them up, storing the result in the first one. For the vector types I've used Eigen::VectorXd
and std::vector
for performance comparison:
ANSWER
Answered 2021-Aug-31 at 21:47TL;DR: The problem mainly comes from the constant loop bound and not directly from Eigen. Indeed, in the first case, Eigen store the size of the vectors in vector attributes while in the second case, you explicitly use the constant N
.
Clever compilers can use this information to unroll loops more aggressively because they know that N
is quite big. Unrolling a loop with a small N
is a bad idea since the code will be bigger and has to read by the processor. If the code is not already loaded in the L1 cache, it must be loaded from the other caches, the RAM or even the storage device in the worst case. The added latency is often bigger than executing a sequential loop with a small unroll factor. This is why compilers do not always unroll loops (at least not with a big unroll factor).
Inlining also plays an important role in this code. Indeed, if the functions are inlined, the compiler can propagate constants and know the size of the vector enabling it to further optimize the code by unrolling the loop more aggressively. However, if the functions are not inlined, then there is no way the compiler can know the loop bounds. Clever compilers can still generate conditional algorithm to optimize both small loops and big ones but this makes the program bigger and introduces a small overhead. Compilers like ICC and Clang do generate the different code alternatives when the code can be vectorized but the loop bounds are unknown or also when aliasing is not known at compile time (the number of generated variants can quickly be huge and so the code size).
Note that inlining functions may not be enough since the constant propagation can be trapped by a complex conditionals dealing with runtime-defined variables or non-inlined function calls. Alternatively, the quality of the constant propagation may not be sufficient for the target example.
Finally, aliasing also play a critical role in the ability of compilers to generate SIMD instructions (and possibly better unroll the loop) in this code. Indeed, aliasing often prevent the use of SIMD instructions and it is not always easy for compilers to check aliasing and generate fast implementations accordingly.
Testing the hypothesisesIf the vector-based implementation use a loop bound stored in the vector objects, then the code generated by MSVC is not vectorized in the benchmark: the constant is not propagated correctly despite the inlining of the function. The resulting code should be much slower. Here is the generated code:
QUESTION
Consider the following snippet:
...ANSWER
Answered 2021-Aug-04 at 15:47This is a bug in clang's diagnosis. The use of curly braces in your last two cases does not 'fix' the dangling pointer issue.
By way of 'confirmation', the Code Analysis tool (static analyser) in Visual Studio/MSVC gives the following warnings for all five svX
variables:
QUESTION
I'd like to implement a non-copy data trim_left function, but would like to not allow it to accept temporary parameters to make the returned string_view is valid (the data is still alive). I started accepting string_view as parameter, but I cannot get the way how to guarantee the data is valid.
So I make this:
...ANSWER
Answered 2021-May-23 at 21:33Well... given that trim_left()
doesn't change data
, I suppose that you can write the main trim_left()
receiving a T const &
QUESTION
I want to use the svd function to get the singular values of a large datasets in a list. When I use the svd function in a single matrix, I am able to use $d and get the values, but for the list I cannot get the output. Here is the code for a matrix and the output.
...ANSWER
Answered 2021-May-25 at 20:18Maybe something like the following?
QUESTION
I've a search box created in CSS. When I click its icon, it displays input bar. It works perfectly. The only problem is when I click it, it opens input bar in right side area of search icon. I wanted to open it to left side of the icon. How I can do that?
Here's the code I am using:
...ANSWER
Answered 2021-May-18 at 21:00To change the size from right to left, you have to move the whole page with direction: rtl;
Adjust it.
QUESTION
The following code prints out:
1
a
2
a
I don't get this. why does this happen?
...ANSWER
Answered 2021-May-16 at 17:40As per the method docs, split_whitespace
returns std::str::SplitWhitespace, which is An iterator over the non-whitespace substrings of a string, separated by any amount of whitespace. which means it can split on multiple whitespaces, and doesn't include empty string in the result.
While for split
method,
Contiguous separators are separated by the empty string. as well as Separators at the start or end of a string are neighbored by empty strings.
So in your example, split_whitespace
gives ["a"]
but split
gives ["a", ""]
.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install SV2
Input files
BED format
VCF format
sv2_preprocessing/ contains preprocessing output
sv2_features/ feature extraction output
sv2_genotypes/ genotype output
SV2 can merge divergent breakpoints. By default this option is off.
:notebook: Merging Documentation
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