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hodcroftlab / covariants

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Trigger addition of new variants on per-country charts

anjali-gopinathan
anjali-gopinathan commented Jul 10, 2021

Whenever there is a significant increase in the "Other" population in any country, it would be helpful to automatically trigger the addition of new variants (with appropriate controls to avoid small-sample issues).

For example, right now in South Korea, "Other" represents 96% of all the sequences (70 out of 73), and information surrounding the new variants in this population is missing. These n

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enhancement good first issue help wanted needs triage
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graph-theory

je-suis-tm / graph-theory

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Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Randomized Distributed, Topological Sort, DFS, BFS

graph-theory agent-based-modeling complex-systems minimum-spanning-trees spatial-models maximal-cliques graph-coloring random-graph complex-network minimum-spanning-tree agent-based-simulation sir-model dynamic-network barabasi-albert watts-strogatz dynamic-system epidemic-model compartmental-model sars-cov-2 bianconi-barabasi
  • Updated Jul 7, 2021
  • Jupyter Notebook

greenelab / covid19-review

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Possible new drug categories

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rando2
rando2 commented Oct 6, 2020

I removed several headings that had been added early on in brainstorming for this manuscript. If anyone is looking for ideas of how to contribute, you could definitely look into how these drug development strategies are being applied to COVID-19!

  • Molecules Targeting the Viral Envelope
  • Viral Particle Vaccines
  • Oligonucleotide Therapies

Additionally, here is the template for adding in

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Future Version good first issue therapeutic
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nextstrain / nextclade

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Warn users about memory consumption when they try to run on huge datasets

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ivan-aksamentov
ivan-aksamentov commented Jun 14, 2021

We might want to give users a hint that Nextclade requires a lot of memory in case there are many sequences.

We can simply take fasta files size and upon some threshold to show a reactstrap alert informing users about that fact and recommend them splitting their datasets in multiple chunks as well as common memory-freeing steps.

It is essential to explain that all computation is happening o

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good first issue help wanted t:feat
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kaushikjadhav01 / COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans

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COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.

machine-learning vgg corona corona-sdk inceptionv3 ct-scans chest-xrays xception chest-radiography coronavirus coronavirus-tracking covid-19 covid covid19 sars-cov-2 coronavirus-dataset coronavirus-data coronavirus-detect covid-net sars-covid
  • Updated May 21, 2021
  • Jupyter Notebook

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