life-full-study-skeleton-including-the-wet-lab-half

Solid

Use at study design and again when laying out the results section, to check every slot of a life-science study is filled. Covers the skeleton a paper of this kind carries, and what to put in the slots this run cannot compute rather than leaving them out.

AI & Automation 804 stars 25 forks Updated today NOASSERTION

Install

View on GitHub

Quality Score: 82/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Fill every slot of the life-science results skeleton, including the parts you cannot compute A life-science results section is a fixed skeleton and each slot is judged on its own. Budget one figure per slot. A pipeline schematic - source data, design or selection, experiment, model, next iteration - drawn before any results figure. The distribution over biological units: violin or strip of the per-cell, per-donor, per-position value with the unit on the axis, never a mean alone. Name which units behave differently and why; between-unit heterogeneity is itself the finding. The headline metric stratified along every axis the biology distinguishes - platform or chemistry, cell line or tissue, species or strain, substrate or matrix, gene class, coverage depth, donor - with the pooled figure as one extra row, and say which stratum breaks. The mechanism in the field's physical vocabulary: which residues, monomers, bases or positions, through which interaction (hydrophobic, electrostatic, steric, stacking), and the measurement that supports it. Two rules outsiders break. When the supplied material is small, mislabelled, degenerate or a curated extract, still produce the standard analysis on it exactly as given, at the scale given, clearly labelled - then add your corrected analysis and the provenance audit alongside. An audit or an upstream re-scoping that replaces the requested figure loses the result. And the non-computational half - upstream corpus or cohort curation, syn...

Details

Author
tangxiangru
Repository
tangxiangru/AutoR
Created
5 months ago
Last Updated
today
Language
Python
License
NOASSERTION

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category