455 CARDS · 41 WEEKS · EVERY SOURCE THE PLAN NAMES
Everything you could study, filtered .
Every video, chapter, paper and repository in the programme, as one card each, with the time it costs and why it is there. Filter by how long you have.
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W00 · Cockpit and positioning W01 · A tank in 80 lines W02 · One hundred real batches W03 · Golden batch, with statistics W04 · L1: public and reproducible W05 · FermLit begins: the corpus W06 · The gold set (the most important … W07 · The extraction agent, measured W08 · GATE 8: technical report and L2 W09 · FermLit at scale W10 · Inter-annotator agreement and the… W11 · Dataset engineering and the repor… W12 · Endorsement route opens; hybrid m… W13 · GATE 13: FermLit v0.5 public, Pap… W14 · Write Paper 1 W15 · Review, revise, human read W16 · GATE 16: Paper 1 on bioRxiv (L3) W17 · Paper 2 experiments, complete W18 · Write Paper 2 W19 · Endorsement closed; review; site W20 · GATE 20: Paper 2 on arXiv, endors… W21 · Paper 3 scoped with a partner W22 · Baselines beaten honestly W23 · Extremophile focus W24 · GATE 24: co-authorship agreed W25 · Instrument 2 trialkit (field module) W26 · Instrument 2 (plate module) W27 · Loop Audit offer, built on papers W28 · GATE 28: first Loop Audit sold W29 · Audit delivery 1 W30 · Audit delivery 2; Paper 3 results W31 · Write Paper 3 W32 · GATE 32: Paper 3 preprint (L4 co-… W33 · Instrument 3 labdocs, part 1 W34 · labdocs, part 2 W35 · labdocs, part 3 W36 · GATE 36: journal + JOSS W37 · Pilot delivery or job process W38 · Talk delivered W39 · Fund package W40 · GATE 40: retro and decision
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9 cards shown.
Stashes: LABLOOP-W00 Notebook (15) LABLOOP-W01 Notebook (18) LABLOOP-W02 Notebook (15) LABLOOP-W03 Notebook (19) LABLOOP-W04 Notebook (17) LABLOOP-W05 Notebook (16) LABLOOP-W06 Notebook (12) LABLOOP-W07 Notebook (12) LABLOOP-W08 Notebook (15) LABLOOP-W09 Notebook (10) LABLOOP-W10 Notebook (11) LABLOOP-W11 Notebook (12) LABLOOP-W12 Notebook (12) LABLOOP-W13 Notebook (13) LABLOOP-W14 Notebook (12) LABLOOP-W15 Notebook (10) LABLOOP-W16 Notebook (14) LABLOOP-W17 Notebook (13) LABLOOP-W18 Notebook (10) LABLOOP-W19 Notebook (10) LABLOOP-W20 Notebook (10) LABLOOP-W21 Notebook (13) LABLOOP-W22 Notebook (10) LABLOOP-W23 Notebook (9) LABLOOP-W24 Notebook (9) LABLOOP-W25 Notebook (12) LABLOOP-W26 Notebook (11) LABLOOP-W27 Notebook (10) LABLOOP-W28 Notebook (6) LABLOOP-W29 Notebook (7) LABLOOP-W30 Notebook (10) LABLOOP-W31 Notebook (8) LABLOOP-W32 Notebook (5) LABLOOP-W33 Notebook (13) LABLOOP-W34 Notebook (12) LABLOOP-W35 Notebook (10) LABLOOP-W36 Notebook (8) LABLOOP-W37 Notebook (7) LABLOOP-W38 Notebook (6) LABLOOP-W39 Notebook (6) LABLOOP-W40 Notebook (6)
1/9
Read
75 min
W23
Tuesday
Biology
Partner-recommended reading (ask for it); if none yet, Rothschild & Mancinelli (2001) "Life in e…
Partner-recommended reading (ask for it); if none yet, Rothschild & Mancinelli (2001) "Life in extreme environments" (carry over) and the UniProt "Help" pages on EC numbers and taxonomy filters (75 min)
In: LABLOOP-W23 Notebook
2/9
Watch
15 min?
W23
Saturday
Sandbox
optional
UniProt REST API documentation
Saturday sandbox
UniProt REST API documentation (rest.uniprot.org) and the BRENDA enzyme database (brenda-enzymes.org) for reported temperature optima
In: LABLOOP-W23 Notebook
3/9
Watch
15 min?
W23
Saturday
Sandbox
optional
iBiology talks on extremophiles and enzymes
Saturday sandbox
· after UniProt REST API documentation
iBiology talks on extremophiles and enzymes (search; verify)
In: LABLOOP-W23 Notebook
4/9
Watch
15 min?
W23
Saturday
Sandbox
optional
Crash Course Biology #35 "Old & Odd"
Saturday sandbox
· after iBiology talks on extremophiles and enzymes
Crash Course Biology #35 "Old & Odd" (carry over)
In: LABLOOP-W23 Notebook
5/9
Watch
15 min
W23
Craft
Khan Academy / Crash Course refresh on protein folding and denaturation ("why heat unfolds prote…
Khan Academy / Crash Course refresh on protein folding and denaturation ("why heat unfolds proteins") (15 min)
In: LABLOOP-W23 Notebook
biopython/biopython
Parse UniProt FASTA, compute length and composition features as a sanity baseline next to embeddings
In: LABLOOP-W23 Notebook
sokrypton/ColabFold
Colab: predict the structure of your top 2 candidates; look at them in 3D. Not used as a feature, only to build intuition and a figure
In: LABLOOP-W23 Notebook
google-deepmind/alphafold
Read the README on the AlphaFold Protein Structure Database; check if your candidates already have predicted structures there (no GPU needed)
In: LABLOOP-W23 Notebook
deepchem/deepchem
Browse "The Basic Tools of the Deep Life Sciences" tutorial list; one notebook on protein sequences, only if curious (Saturday)
In: LABLOOP-W23 Notebook