The-Cancer-Targetome | Initial data release for drug-target interactions | Genomics library
kandi X-RAY | The-Cancer-Targetome Summary
kandi X-RAY | The-Cancer-Targetome Summary
A core tenet of precision oncology is the rational selection of pharmaceutical therapies to interact with patient-specific biological targets of interest, but it is currently difficult for researchers to obtain consistent and well-supported target information for pharmaceutical drugs. To address this gap we have aggregated drug-target interaction and bioactivity information for FDA-approved antineoplastic drugs across four publicly available resources to create the Cancer Targetome. Our work offers a novel contribution due to both the inclusion of putative target interactions encompassing multiple targets for each antineoplastic drug and the introduction of a framework for categorizing the supporting evidence behind each drug-target interaction. This is an initial data release for the drug-target interactions of the Cancer Targetome. All drug-target interaction and bioactivity data has been aggregated from four publicly available resources: DrugBank [1, 2], Therapeutic Targets Database [3], IUPHAR Guide to Pharmacology [4], and BindingDB [5]. Drug-target information was retrieved for this set of cancer drugs using the extensive drug synonym information available from the NCI Cancer Thesaurus [6].
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Top functions reviewed by kandi - BETA
- Queries database
- Queries the database
- Queries and returns the experimental evidence set
- This method loads IUPHAR interactions from the IUPHAR file
- Login - tested method to test the JSRBinary class
- Create a session
- Queries the database for the given evidence
- Demonstrates how to run the pharmacie method on the network
- Load a set of drugs from a file
- Demonstrates how to persist the data to the database
- Read IUPHAR file
- Main entry point for the darken path analysis
- Gets the list of all pill classes associated with a given RxClass URL
- Test to see if there is some NCI treatments in the database
- Test to see if the proposed date is valid
- Test to test whether the substance is equivalent to another
- Test to see if this is an equivalence test
- Test to see if this is equivalent to the nucleotide
- Login - used to test the pharmacophore
- This method is used to get PubMed ids from the Department
- Test to persist all of the sources in the database
- Test for all interactions for a pathway
- Test for all interactions for a pathway file
- Example of how to use the ATC class
- Test if two interactions are equivalent
- Extracts the App Compliance Date from the Iron Book
The-Cancer-Targetome Key Features
The-Cancer-Targetome Examples and Code Snippets
Community Discussions
Trending Discussions on Genomics
QUESTION
I´m working with two text files that look like this: File 1
...ANSWER
Answered 2022-Apr-09 at 00:49Perhaps you are after this?
QUESTION
I'm using the software plink2 (https://www.cog-genomics.org/plink/2.0/) and I'm trying to iterate over 3 variables.
This software admits an input file with .ped extention file and an exclude file with .txt extention which contains a list of names to be excluded from the input file.
The idea is to iterate over the input files and then over exclude files to generate single outputfiles.
- Input files: Highland.ped - Midland.ped - Lowland.ped
- Exclude-map files: HighlandMidland.txt - HighlandLowland.txt - MidlandLowland.txt
- Output files: HighlandMidland - HighlandLowland - MidlandHighland - MidlandLowland - LowlandHighland - LowlandMidland
The general code is:
...ANSWER
Answered 2021-Dec-09 at 23:50Honestly, I think your current code is quite clear; but if you really want to write this as a loop, here's one possibility:
QUESTION
From this example string:
...ANSWER
Answered 2021-Dec-09 at 01:11use regexp_extract(col, r"&q;Stockcode&q;:([^/$]*?),&q;.*")
if applied to sample data in your question - output is
QUESTION
I am making a code which takes in jumble word and returns a unjumbled word , the data.json contains a list and here take a word one-by-one and check if it contains all the characters of the word and later checking if the length is same , but the problem is when i enter a word as helol then the l is checked twice and giving me some other outputs including the main one(hello). i know why does it happen but i cant get a fix to it
...ANSWER
Answered 2021-Nov-25 at 18:33As I understand it you are trying to identify all possible matches for the jumbled string in your list. You could sort the letters in the jumbled word and match the resulting list against sorted lists of the words in your data file.
QUESTION
I am trying to use plink1.9 to split multiallelic into biallelic. The input is that
...ANSWER
Answered 2021-Nov-17 at 09:45I used bcftools to complete the task.
QUESTION
I have a FASTA file that has about 300000 sequences but some of the sequences are like these
...ANSWER
Answered 2021-Oct-12 at 20:28You can match your non-X containing FASTA entries with the regex >.+\n[^X]+\n
. This checks for a substring starting with >
having a first line of anything (the FASTA header), which is followed by characters not containing an X until you reach a line break.
For example:
QUESTION
For example, I have two strings:
...ANSWER
Answered 2021-Oct-04 at 22:27For your example your pattern would be:
QUESTION
I am currently trying to run genomic analyses pipelines using Hail(library for genomics analyses written in python and Scala). Recently, Apache Spark 3 was released and it supported GPU usage.
I tried spark-rapids library start an on-premise slurm cluster with gpu nodes. I was able to initialise the cluster. However, when I tried running hail tasks, the executors keep getting killed.
On querying in Hail forum, I got the response that
That’s a GPU code generator for Spark-SQL, and Hail doesn’t use any Spark-SQL interfaces, only the RDD interfaces.
So, does Spark3 not support GPU usage for RDD interfaces?
...ANSWER
Answered 2021-Sep-23 at 05:53As of now, spark-rapids doesn't support GPU usage for RDD interfaces.
Source: Link
Apache Spark 3.0+ lets users provide a plugin that can replace the backend for SQL and DataFrame operations. This requires no API changes from the user. The plugin will replace SQL operations it supports with GPU accelerated versions. If an operation is not supported it will fall back to using the Spark CPU version. Note that the plugin cannot accelerate operations that manipulate RDDs directly.
Here, an answer from spark-rapids team
Source: Link
We do not support running the RDD API on GPUs at this time. We only support the SQL/Dataframe API, and even then only a subset of the operators. This is because we are translating individual Catalyst operators into GPU enabled equivalent operators. I would love to be able to support the RDD API, but that would require us to be able to take arbitrary java, scala, and python code and run it on the GPU. We are investigating ways to try to accomplish some of this, but right now it is very difficult to do. That is especially true for libraries like Hail, which use python as an API, but the data analysis is done in C/C++.
QUESTION
I have 1500 files with the same format (the .scount file format from PLINK2 https://www.cog-genomics.org/plink/2.0/formats#scount), an example is below:
...ANSWER
Answered 2021-Sep-07 at 11:10a tidyverse
solution
QUESTION
I have been implementing a suite of RecordBatchReaders for a genomics toolset. The standard unit of work is a RecordBatch. I ended up implementing a lot of my own compression and IO tools instead of using the existing utilities in the arrow cpp platform because I was confused about them. Are there any clear examples of using the existing compression and file IO utilities to simply get a file stream that inflates standard zlib data? Also, an object diagram for the cpp platform would be helpful in ramping up.
...ANSWER
Answered 2021-Jun-02 at 18:58Here is an example program that inflates a compressed zlib file and reads it as CSV.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install The-Cancer-Targetome
You can use The-Cancer-Targetome like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the The-Cancer-Targetome component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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