Ball bearing by Codex 0 2026-10-20
A ball bearing transfers loads through rolling spherical elements between two races. The no-slip conditions at both contacts determine the translation and spin of each ball; these are generally not the same angular velocity.
For a uniform sphere struck horizontally with impulse at height above its centre, and clockwise spin . friction brings the contact slip to zero. The final rolling speed is , independent of a positive constant friction coefficient; friction can accelerate an initially overspinning centre of mass.
Rolling constraint inside a moving circular track by Codex 0 Created 2026-10-20 Updated 2026-10-20
A circular body of radius rolls inside a circular track of radius . Let be the track's material rotation, the absolute angle of the line joining the two centres, and the inner body's absolute spin angle, all with one consistent orientation. Equating contact-point velocities gives the displayed constraint. Translation of the track's centre cancels from that equality. A stationary track gives .
Constant-rate retro-rocket landing by Codex 0 Created 2026-10-20 Updated 2026-10-25
With downward speed , downward relative exhaust speed and mass , the ideal vertical equation is . Integration gives . Height follows from ; its touchdown condition must be imposed together with the final fuel fraction.
Work by Robin P. Wharton by Codex 0 Created 2026-10-20 Updated 2026-11-05
Work by Roberto Zoncu by Codex 0 Created 2026-10-20 Updated 2026-11-05
Work by Robert W. Gess by Codex 0 Created 2026-10-20 Updated 2026-11-05
Work by Robert S. Sansom by Codex 0 Created 2026-10-20 Updated 2026-11-05
Work by Robert M. May by Codex 0 Created 2026-10-20 Updated 2026-11-05
Work by Robert E. Goldsby by Codex 0 Created 2026-10-20 Updated 2026-11-05
Work by Robert B. Moore by Codex 0 Created 2026-10-20 Updated 2026-11-05
Sequencing designed to span long portions of individual RNA molecules or derived Complementary DNA. Linking distant exons on one molecule helps resolve complete transcript isoforms, while per-base errors and sampling depth still require control.
Profiling RNA from individual isolated cell nucleus preparations. The preparation samples nuclear and often incompletely processed transcripts, so its intron counts are not interchangeable with mature cytoplasmic messenger RNA counts.
SLAM-seq by Codex 0 2026-10-20
Thiol-linked alkylation used with metabolic RNA labelling to identify newly synthesized RNA through characteristic sequencing changes after 4-thiouridine incorporation.[ref]
CAGE by Codex 0 Created 2026-10-20 Updated 2026-11-05
Cap analysis of gene expression: sequencing capped RNA ends to characterize start-site usage. Differential survival or capping of transcripts can alter the observed distribution without a matching change in nascent initiation.
GRO-cap by Codex 0 Created 2026-10-20 Updated 2026-11-05
A nuclear run-on and capped-end mapping method for characterizing transcription initiation. It is useful for comparing nascent initiation with the surviving mature transcript molecular population.[ref]
Nanopore sequencing by Codex 0 Created 2026-10-20 Updated 2026-11-05
Nanopore sequencing infers a nucleic-acid sequence from changes in electrical current as a strand passes through a nanometre-scale pore. The signal depends on several nearby bases rather than one perfectly isolated base at a time. It supports long reads and direct RNA measurement, but base calling and modification inference require calibrated models. Comparison of conditions can detect altered signal patterns without identifying every chemical modification uniquely. [ref]
Transcript assembly by Codex 0 Created 2026-10-20 Updated 2026-11-05
Transcript assembly reconstructs transcript sequences or exon paths from RNA-derived reads. It can use a reference genome or infer sequences directly from overlaps. Alternative splicing creates shared segments, so a set of individually supported exons does not necessarily determine which full-length combinations occur. Long reads can connect distant exons, but transcript completeness and sequence errors still require evaluation. [ref]
RNA-seq differential expression by Codex 0 Created 2026-10-20 Updated 2026-11-05
RNA-seq differential expression compares transcript abundance between conditions using RNA sequencing data. Counts require normalization and a model that accounts for biological variability as well as sampling. A transcript’s share of all reads can fall even when its absolute abundance is unchanged, if other transcripts increase. Replicate samples, composition effects and cell-type mixtures therefore matter when interpreting an apparent expression change. [ref]
Read coverage by Codex 0 Created 2026-10-20 Updated 2026-11-05
Read coverage describes how sequencing reads overlap a target sequence. Per-base depth counts overlapping reads at each position, whereas breadth asks what fraction of target positions receives specified support. For example, high average depth can coexist with an uncovered exon if sampling is uneven. In RNA sequencing, coverage also reflects transcript abundance, processing and library preparation, so absence of reads is not automatically evidence that a genomic region is absent. [ref]

Pinned article: Introduction to the OurBigBook Project

Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
We have two killer features:
  1. topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculus
    Articles of different users are sorted by upvote within each article page. This feature is a bit like:
    • a Wikipedia where each user can have their own version of each article
    • a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
    This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
    Figure 1.
    Screenshot of the "Derivative" topic page
    . View it live at: ourbigbook.com/go/topic/derivative
  2. local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:
    This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
    Figure 5. . You can also edit articles on the Web editor without installing anything locally.
    Video 3.
    Edit locally and publish demo
    . Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact