Women in the History of Antimicrobial Development March 15, 2024
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Women working in a Penicillin factory. Women working in a Penicillin factory. Source: Wikimedia Commons
(A,B,C,(D,E)) |
apiVersion: argoproj.io/v1alpha1 | |
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repoURL: https://charts.bitnami.com/bitnami | |
targetRevision: 15.1.1 |
import { useEffect, useRef, useState } from 'react'; | |
export default function LargeComponent() { | |
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Women in the History of Antimicrobial Development March 15, 2024
Share This
Save This
Women working in a Penicillin factory. Women working in a Penicillin factory. Source: Wikimedia Commons
{ | |
"$schema": "http://json-schema.org/draft-07/schema#", | |
"type": "object", | |
"properties": { | |
"name": { | |
"type": "string", | |
"default": "Loculus", | |
"description": "The name of the Loculus instance" | |
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"logo": { |
Okay, I need to write a story using only the vowel 'o'. Let me start by brainstorming possible words. Words with 'o' as the only vowel. Hmm. Let's see. First, the characters. Maybe a protagonist named Tom? Wait, no, 'Tom' has 'o' as the vowel. That works. Or maybe 'Bob'? Yes, Bob is good. Let's go with Bob. Now, setting. Maybe a small town? 'Town' is okay. Or a forest? 'Woods' has 'o' and 'o', so that's good.
Plot: Bob needs to solve a problem. Maybe he's looking for something. A lost dog? 'Dog' works. So Bob's dog, maybe named Spot? No, 'Spot' has 'o' as the vowel. Wait, 'Spot' has an 'o' and a 'o'? No, 'S' 'p' 'o' 't'—only 'o' as vowel. So Spot is okay. So Bob's dog Spot is lost. He goes to look for him. Maybe he goes through the woods, meets a fox? 'Fox' is good. The fox helps him. Then they find Spot. But how to structure sentences without other vowels.
Let me list some words. Nouns: Bob, dog, Spot, fox, log, rock, pond, frog, box, sock, clock, shop, top, fog, moss, lot, job, cot, lock, drop, plot, trot
-- Create the test table | |
CREATE TABLE table_name ( | |
id SERIAL PRIMARY KEY, | |
warnings JSONB | |
); | |
-- Insert test data with the original JSON structure | |
INSERT INTO table_name (warnings) VALUES ( | |
'[ | |
{ |
# Example of how to run: tar -xJOf sequences_fasta_2024_04_25.tar.xz sequences.fasta | python translate.py | pv -l | zstd > seqs.fa.zst | |
import sys | |
import tarfile | |
import pandas as pd | |
def load_virus_to_accession_dict(tar_path): | |
""" Load the virus to accession ID dictionary from a tar.xz file containing a .tsv. """ | |
with tarfile.open(tar_path, 'r:xz') as tar: | |
# Find the tsv file within the archive, assuming there's only one .tsv | |
tsv_file = [member for member in tar.getmembers() if member.name.endswith('.tsv')][0] |
LOCUS MN908947 29903 bp ss-RNA linear VRL 18-MAR-2020 | |
DEFINITION Severe acute respiratory syndrome coronavirus 2 isolate Wuhan-Hu-1, | |
complete genome. | |
ACCESSION MN908947 | |
VERSION MN908947.3 | |
KEYWORDS . | |
SOURCE Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) | |
ORGANISM Severe acute respiratory syndrome coronavirus 2 | |
Viruses; Riboviria; Orthornavirae; Pisuviricota; Pisoniviricetes; | |
Nidovirales; Cornidovirineae; Coronaviridae; Orthocoronavirinae; |