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{ | |
"$schema": "http://json-schema.org/draft-07/schema#", | |
"additionalProperties": false, | |
"properties": { | |
"accessionPrefix": { | |
"default": "LOC_", | |
"required": [], | |
"title": "accessionPrefix", | |
"type": "string" |
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{ | |
"$schema": "https://lnav.org/schemas/format-v1.schema.json", | |
"postgres2": { | |
"regex": { | |
"duration": { | |
"pattern": "^(?<timestamp>\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2}\\.\\d{3} UTC) (?<ip>\\d+\\.\\d+\\.\\d+\\.\\d+)\\((?<port>\\d+)\\) (?<session_id>[^ ]+) (?<transaction_id>\\d+) (?<operation>[A-Z]+) ?(?<level>[A-Z]+)?: (?:duration: (?<dur>\\d+\\.\\d+) ms)?(?<body>.*)$" | |
} | |
}, | |
"opid-field": "transaction_id", | |
"level-field": "level", |
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https://pathoplexus.org/ | |
https://pathoplexus.org/about | |
https://pathoplexus.org/about/development-team | |
https://pathoplexus.org/about/eb | |
https://pathoplexus.org/about/faq | |
https://pathoplexus.org/about/governance | |
https://pathoplexus.org/about/governance/data-submission | |
https://pathoplexus.org/about/governance/eb-guidelines | |
https://pathoplexus.org/about/governance/minutes | |
https://pathoplexus.org/about/governance/minutes/2024-08-12_PathoplexusEBmeeting.pdf |
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// A Newick grammar based on the specification by Gary Olsen: available at | |
// https://phylipweb.github.io/phylip/newick_doc.html The grammar does _not_ include the optional | |
// comments as I have not figured out how to include them without adding a lot of `comment?` rules | |
// to the grammar whick makes it very slow. | |
grammar Newick; | |
tree: descendantList rootLabel? branchLength? SEMI; | |
descendantList: LPAREN subtree (COMMA subtree)* RPAREN; | |
subtree: (descendantList internalNodeLabel? | leafLabel) branchLength?; |
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import argparse | |
from pprint import pp | |
from Bio import Phylo | |
def get_terminals(clade): | |
return frozenset(terminal.name for terminal in clade.get_terminals()) |
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{"seqName":"England/MILK-28D52E2/2021","nearestNodes":["B.1.617.2"]} | |
{"seqName":"USA/CO-CDPHE-2102374275/2021","nearestNodes":["B.1.617.2"]} | |
{"seqName":"Wales/PHWC-PGY3IH/2021","nearestNodes":["B.1.617.2"]} | |
{"seqName":"Turkey/HSGM-F70/2021","nearestNodes":["B.1.617.2"]} | |
{"seqName":"USA/WI-CDC-QDX31282160/2021","nearestNodes":["B.1.617.2"]} | |
{"seqName":"Canada/ON-SHL-21-02331/2021","nearestNodes":["B.1.617.2"]} | |
{"seqName":"France/BRE-IPP48628/2021","nearestNodes":["B.1.617.2"]} | |
{"seqName":"USA/CA-CDC-LC0396661/2021","nearestNodes":["B.1.617.2"]} | |
{"seqName":"France/OCC-HCL021227635901/2021","nearestNodes":["B.1.617.2"]} |
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import argparse | |
from math import e | |
from Bio import Entrez | |
import openai | |
def search_latest_papers(faculty_name, source="Pubmed", num_papers=5): | |
papers_info = [] | |
if source == "Pubmed": | |
Entrez.email = "[email protected]" |
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import argparse | |
from math import e | |
from Bio import Entrez | |
import openai | |
def search_latest_papers(faculty_name, source="Pubmed", num_papers=5): | |
abstracts = [] | |
if source == "Pubmed": |
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