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import json | |
import random | |
import math | |
from random import sample | |
import matplotlib.pyplot as plt | |
import numpy as np | |
from matplotlib import cm | |
from matplotlib.colors import Normalize |
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Protein IDs Majority protein IDs Peptide counts (all) Peptide counts (razor+unique) Peptide counts (unique) Fasta headers Number of proteins Peptides Razor + unique peptides Unique peptides Peptides pHis3_01 Peptides pHis3_02 Peptides pHis3_03 Peptides SMC1_01 Peptides SMC1_02 Peptides SMC1_03 Razor + unique peptides pHis3_01 Razor + unique peptides pHis3_02 Razor + unique peptides pHis3_03 Razor + unique peptides SMC1_01 Razor + unique peptides SMC1_02 Razor + unique peptides SMC1_03 Unique peptides pHis3_01 Unique peptides pHis3_02 Unique peptides pHis3_03 Unique peptides SMC1_01 Unique peptides SMC1_02 Unique peptides SMC1_03 Sequence coverage [%] Unique + razor sequence coverage [%] Unique sequence coverage [%] Mol. weight [kDa] Sequence length Sequence lengths Q-value Score Sequence coverage pHis3_01 [%] Sequence coverage pHis3_02 [%] Sequence coverage pHis3_03 [%] Sequence coverage SMC1_01 [%] Sequence coverage SMC1_02 [%] Sequence coverage SMC1_03 [%] Intensity Intensity pHis3_01 Intensity pHis3_02 Int |
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using System; | |
using System.Collections.Generic; | |
namespace ConsoleApp9 { | |
public class BinaryTreeNode { | |
public int Data { get; } | |
public BinaryTreeNode Left { get; } | |
public BinaryTreeNode Right { get; } | |
public BinaryTreeNode(int data) { |
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#include <bits/stdc++.h> | |
using namespace std; | |
struct BinaryTreeNode { | |
int data; | |
BinaryTreeNode* left; | |
BinaryTreeNode* right; | |
}; |
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Protein IDs Majority protein IDs Peptide counts (all) Peptide counts (razor+unique) Peptide counts (unique) Fasta headers Number of proteins Peptides Razor + unique peptides Unique peptides Peptides pHis3_01 Peptides pHis3_02 Peptides pHis3_03 Peptides SMC1_01 Peptides SMC1_02 Peptides SMC1_03 Razor + unique peptides pHis3_01 Razor + unique peptides pHis3_02 Razor + unique peptides pHis3_03 Razor + unique peptides SMC1_01 Razor + unique peptides SMC1_02 Razor + unique peptides SMC1_03 Unique peptides pHis3_01 Unique peptides pHis3_02 Unique peptides pHis3_03 Unique peptides SMC1_01 Unique peptides SMC1_02 Unique peptides SMC1_03 Sequence coverage [%] Unique + razor sequence coverage [%] Unique sequence coverage [%] Mol. weight [kDa] Sequence length Sequence lengths Q-value Score Sequence coverage pHis3_01 [%] Sequence coverage pHis3_02 [%] Sequence coverage pHis3_03 [%] Sequence coverage SMC1_01 [%] Sequence coverage SMC1_02 [%] Sequence coverage SMC1_03 [%] Intensity Intensity pHis3_01 Intensity pHis3_02 Int |
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Protein IDs Majority protein IDs Peptide counts (all) Peptide counts (razor+unique) Peptide counts (unique) Fasta headers Number of proteins Peptides Razor + unique peptides Unique peptides Peptides pHis3_01 Peptides pHis3_02 Peptides pHis3_03 Peptides SMC1_01 Peptides SMC1_02 Peptides SMC1_03 Razor + unique peptides pHis3_01 Razor + unique peptides pHis3_02 Razor + unique peptides pHis3_03 Razor + unique peptides SMC1_01 Razor + unique peptides SMC1_02 Razor + unique peptides SMC1_03 Unique peptides pHis3_01 Unique peptides pHis3_02 Unique peptides pHis3_03 Unique peptides SMC1_01 Unique peptides SMC1_02 Unique peptides SMC1_03 Sequence coverage [%] Unique + razor sequence coverage [%] Unique sequence coverage [%] Mol. weight [kDa] Sequence length Sequence lengths Q-value Score Sequence coverage pHis3_01 [%] Sequence coverage pHis3_02 [%] Sequence coverage pHis3_03 [%] Sequence coverage SMC1_01 [%] Sequence coverage SMC1_02 [%] Sequence coverage SMC1_03 [%] Intensity Intensity pHis3_01 Intensity pHis3_02 Int |
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{"inputs": [[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 |
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from Bio import Entrez | |
import os | |
import gzip | |
""" | |
To avoid problems with an access rate (ex. "HTTP Error 429: Too Many Requests") | |
Read how to get an api-key | |
https://ncbiinsights.ncbi.nlm.nih.gov/2017/11/02/new-api-keys-for-the-e-utilities/ | |
""" | |
Entrez.api_key = '<your api key here>' |
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import os | |
import re | |
GENOME = 'data/22' | |
rule all: | |
input: expand('output/reports/{SAMPLE}', SAMPLE=[os.path.splitext(i)[0] for i in os.listdir('input/') if not i.startswith('.') and i.endswith(".bam")]) | |
output: touch('output/done') | |
rule reference_index: |
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using System; | |
using System.Collections.Generic; | |
using System.IO; | |
using System.Linq; | |
using System.Text.RegularExpressions; | |
namespace ImmunopepModel | |
{ | |
public class Gene | |
{ |
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