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da1b6982a3b63321a55d9da423ff72e879dc0b3256a0fd317fd7d419a65250cf | Text | 12,755 | 287 | # ARCADE
__Agent-based Representation of Cells And Dynamic Environments__
- **[Code structure overview](#code-structure-overview)**
- **[Building from source](#building-from-source)**
- **[Running the code](#running-the-code)**
- **[Setup file structure](#setup-file-structure)**
- [`<simulation>` tags](#simulatio... |
12f19a00afdfdda224230d7738db58d8cb6c511b0c63d0e27165b707396aec07 | Text | 12,796 | 258 | # READ ME FOR TRACTION FORCE MICROSCOPY AND MONOLAYER STRESS MICROSCOPY
*Repository for traction force microscopy and monolayer stress microscopy.*
*Written by Notbohm Research Group, University of Wisconsin-Madison.*
https://notbohm.ep.wisc.edu
This document explains the Notbohm Research Group's procedures for ana... |
bf84a0e78ed8b25fc9237560959310e262051df87bdd5ac649eeadbe78f19b00 | Text | 12,806 | 247 | # ERICA-trio
> Evolutionary Relationship Inference using a CNN-based Approach (three-taxon version)
Deep learning algorithms have been widely applied in population genetic inference. The [ERICA](https://github.com/YuboZhangPKU/ERICA) software employs a CNN-based framework to detect introgression. It was designed to in... |
58787c8ef5cb4fba4c04322a4ceb9f174e2233ec22d4193622fb6bc67d651d89 | Text | 12,895 | 299 | # Evo 2: Genome modeling and design across all domains of life
Evo 2 is a state of the art DNA language model for long context modeling and design. Evo 2 models DNA sequences at single-nucleotide resolution at up to 1 million base pair context length using the [StripedHyena 2](https://github.com/Zy... |
9f51bbb20c4c5c36e77fb03ca1c5c36236e287c48a1ee31f53150545d421ec25 | Text | 12,940 | 194 | <p align="center">
<img src="imgs/instadeep_logo.png" alt="InstaDeep AI for Genomics Logo" width="200"/>
</p>
<h1 align="center">AI Foundation Models for Genomics</h1>
<p align="center">
<strong>A hub for InstaDeep's cutting-edge deep learning models and research for genomics, originating from the Nucleotide Tran... |
b4e5b29433624097376ce480b1f83660da54503bb95c222ab60d6fdbc75f9279 | Text | 13,334 | 157 | <h1>
<picture>
<source media="(prefers-color-scheme: dark)" srcset="docs/images/nf-core-rnaseq_logo_dark.png">
<img alt="nf-core/rnaseq" src="docs/images/nf-core-rnaseq_logo_light.png">
</picture>
</h1>
[![Open in GitHub Codespaces](https://img.shields.io/badge/Open_In_GitHub_Codespaces-black?labelColor=gr... |
829b156aeb46c77b05272ad6824dc9f6f1fe776a7302b26c3047b6498aff4055 | Text | 13,346 | 256 |
# ScType: Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data
**Article**: [https://doi.org/10.1038/s41467-022-28803-w]
<p style="text-align:justify;"> <b>ScType</b> a computational method for automated selection of marker genes based merely... |
a00b7a6e320cbf65d6a4ebaffaa3fc550fe265b34d502e89427b125453c71130 | Text | 13,356 | 291 | # SACCELERATOR - a flexible framework for applying spatially aware clustering methods
Spatial omics have transformed tissue architecture and cellular heterogeneity analysis by integrating molecular data with spatial localization. In spatially resolved transcriptomics, identifying spatial domains is critical for analys... |
0cf0da4b52283882f3cf28ee65b5da781048545e351bb813cb381f53bee8824f | Text | 13,463 | 247 | # [A trimodal protein language model enables advanced protein searches](https://www.nature.com/articles/s41587-025-02836-0) （Nature Biotechnology 2025）
<a href="https://doi.org/10.1101/2024.05.30.596740"><img src="https://img.shields.io/badge/Paper-bioRxiv-green" style="max-width: 100%;"></a>
<a href="http://search-pro... |
4fb2fce5b500452bf680eed5becddbf33b88e8058c3f2cce440c23d51e6c7e11 | Text | 13,578 | 499 | 
## Overview
<p align="center">
<img src="deam_gnn.png" alt="Overview of the Deam_GNN workflow" width="850">
</p>
<p align="center">
<em>Figure 1. Overview of the deamidation prediction workflow using sequence and structures.</em>
</p>
... |
ad35fc63e3964624b0566d0bf09591542207736285c691f5b9102fb367a0324f | Text | 13,612 | 339 | # fastText
[fastText](https://fasttext.cc/) is a library for efficient learning of word representations and sentence classification.
[](https://circleci.com/gh/facebookresearch/fastText/tree/master)
## Table of contents
* [Resour... |
049c300417b7c4b762253d34debda4efaf9bf7b5c1bf34b5d7b4bc425293b199 | Text | 13,806 | 137 | <p align="center">
<img width="200" src="https://github.com/jinworks/CellChat/blob/main/CellChat_Logo.png">
</p>
## Update
CellChat v3 (Spatial CellChat) is an updated version that
- enables the [inference of cell-cell communication at single-cell resolution from spatial transcriptomics data](https://htmlpreview.g... |
b9e620179f6b9a9aafd9eaf8b874b8f1fa2c8c4ffdced39f2e075391ec3d476d | Text | 14,027 | 280 | # BEELINE: Benchmarking gEnE reguLatory network Inference from siNgle-cEll transcriptomic data
BEELINE is a benchmarking framework for evaluating gene regulatory network (GRN) inference algorithms on single-cell RNA-seq data. It runs algorithms via Docker contain... |
48cb03bd9ec2e9ecb36a219e51b2ff04be8b9da02f28b8165fc1cb68a552cfcf | Text | 14,095 | 133 | This README.txt file was generated on 2026-02-27 by Martina Palomino-Sch‰tzlein
-------------------
GENERAL INFORMATION
-------------------
Title of Dataset: Omics datasets of Deep metabolic dysfunction profiling and drug-host-microbe interactions in the Wilson's Disease gut-liver axis
Author Information
A... |
90f7a2dede7702853af58efe62a09b2ff0739695415defc96ddba6115012518f | Text | 14,356 | 337 | # Neural Probabilistic Circuit Models
## Table of Contents
1. [Project Overview](#project-overview)
1. [Project Hierarchy](#project-hierarchy)
1. [Project Prerequisites](#project-prerequisites)
1. [Getting Started](#getting-started)
1. [Training and Testing](#training-and-testing)
1. [Interpretability](#interpretabil... |
fd12199191da2038b1e26c2962711cf7644c8099525cd63530746ed7a6d40038 | Text | 14,465 | 380 | # DNABERT
This repository includes the implementation of 'DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome'. Please cite our paper if you use the models or codes. The repo is still actively under development, so please kindly report if there is any issue enco... |
c1974bad28bb91cfc86a6ae037da8eedd1a027261a0c23dc932e8e9ce4816e58 | Text | 14,687 | 134 | # ssGSEA2.0/PTM-SEA
Resources for gene-centric **single sample Gene Set Enrichment Analysis (ssGSEA)** of gene expression data (e.g. mRNAs, proteins) and site-centric **PTM Signature Enrichment Analysis (PTM-SEA)** [1] of phosphoproteomics data sets using the [**PTM signatures database (PTMsigDB)**](https://proteomi... |
d916fba060c60c46ced861a36a16fd2a6e48b8aafd33d8e2c9051bcb88c3a20a | Text | 14,822 | 363 | [](https://zenodo.org/doi/10.5281/zenodo.10847620)
# RNAErnie
Official implement of paper "Multi-purpose RNA Language Modeling with Motif-aware Pre-training and Type-guided Fine-tuning" with [paddlepaddle](https://github.com/PaddlePaddle/Paddle/tree/develop).
This reposi... |
7e94e3ef1b3f7afcca87da8a7e0967b68d2a933a415d66fb8ea5c86e47b10efd | Text | 14,859 | 204 | [](https://doi.org/10.5281/zenodo.15095228)
# WMD-Word2Vec
This repository focuses on an approach exploring and evaluating literature-based document-to-document (doc-2-doc) recommendations based on the Word2vec technique. The method employs Word Mover's D... |
dc9c830785e9d72acfede0a14cf83474235e907057d98a591330ea2e699df1b9 | Text | 15,125 | 208 | [](https://doi.org/10.5281/zenodo.15095071)
# Doc2Vec-Doc-relevance
This repository focuses on an approach exploring and evaluating literature-based document-to-document (doc-2-doc) recommendations based on the Doc2Vec technique. The approach involves gen... |
0a38cb5d437d4cb8e756b10659b38e686bbaa6482c8d3a32359c26fd6d66191b | Text | 15,159 | 206 | [](https://doi.org/10.5281/zenodo.15094699)
# Word2doc2vec-Doc-relevance-training
This repository focuses on an approach exploring and evaluating literature-based document-to-document (doc-2-doc) recommendations based on the Word2Vec technique. The approa... |
f945dd43aaf6e4eb9e0c4535788aff49fd1b1d5c04a7a222af381b7a852403cf | Text | 15,315 | 169 |
INTRO
The RDP Classifier is a naive Bayesian classifier which was developed to provide rapid taxonomic placement based on rRNA sequence data. The RDP Classifier can rapidly and accurately classify bacterial and archaeal 16s rRNA sequences, and Fungal LSU sequences. It provides taxonomic assignments from domain to gen... |
fd9f7bb33e375e02fd612467f74a8c02d9adc96e7297f51a98f9a05048477927 | Text | 15,433 | 374 | # GOATOOLS: A Python library for Gene Ontology analyses
[](https://pypi.python.org/pypi/goatools)
[](https://anaconda.org/conda-forge/goatools)
[![Github Actions](https://github.com... |
23fa5cd1885d49c78b5ca842a1787598e63ea9e39eb414d3e6793936bceb5328 | Text | 15,558 | 358 | # CANlab_help_examples and second-level batch scripts
This repository is designed to accompany the <a href = "http://canlab.github.io/CanlabCore">CANlab Core Tools repository for neuroimaging data analysis</a>. It includes:
- How-to examples that publish HTML files with code and output, focusing on the CANlab’s intera... |
8cd71db945d4d46ce037cb0ec099a6fa950e5539ddff7bfd9b170daea835bd4a | Text | 15,646 | 395 |
Medaka
======
[](https://pypi.org/project/medaka/)
[](https://pypi.org/project/medaka/)
[](https://doi.org/10.5281/zenodo.15095937)
# FastText2Doc2Vec-Doc-relevance-training
This repository focuses on an approach exploring and assessing literature-based doc-2-doc recommendations using the fastText algorithm with its application to the RELIS... |
6e5ed9acdcfe864a357cf9aaf6a12265347c90fa7f530986698663136c3aa500 | Text | 15,903 | 201 | [](https://colab.research.google.com/github/neuropoly/Susceptibility-Separation-Phantom/blob/main/Manuscript_Figures.ipynb)
# <div align="center">**Susceptibility-separation-phantom**</div>
## 🚀 **New Update Available!** 🚀
**:red_circle: The l... |
f8b1ae4c1c379455fb1f70284a174083d0ec89f5073180d79acbf59a08473f9d | Text | 16,245 | 150 | # What is Gensim-data for?
Research datasets regularly disappear, change over time, become obsolete or come without a sane implementation to handle the data format reading and processing.
For this reason, [Gensim](https://github.com/RaRe-Technologies/gensim) launched its own dataset storage, committed to long-term su... |
6cd3e65d2b8a8a55b1ecd3a0b1693ca7b33183eba34fba46e0c6c0287b4fa2a9 | Text | 16,291 | 212 | # Physarum polycephalum reanalysis
## Overview
This repository contains the analysis code, the complete analysis log, the derived result tables and the figures for a reanalysis of behavioural data from the slime mould *Physarum polycephalum*. The question addressed is whether the effect of the substance presented at ... |
bd6f591214bc53d22dcf68de411592086647b830b5fa9370bc34f1f31b7de4fe | Text | 16,399 | 360 | [](https://www.jacquemont-lab.org/)
[Git Repository ShortVariants-Annotation](https://github.com/JacquemontLab/ShortVariants-Annotation.git)
[](https://doi.org/10.5281/zenodo.16268986)
# ShortVariants-Annotation
#### A Next... |
b71d7ba545982554fc50186486ddd545ecf062b0b993a9f94004f70bd91271a9 | Text | 17,147 | 309 | [](https://doi.org/10.5281/zenodo.15096055)
# **whatizit-dictionary-ner**: A Dictionary-based NER Approach for TF-IDF Vector Generation using Whatizit tool
This repository contains code and documentation for a dictionary-based Named Entity Recognition (N... |
df0d20d819232e591804ab23d026ae630d57fdcbf0107bf0afb78f2a1d4ebfe5 | Text | 17,204 | 372 | [](https://www.jacquemont-lab.org/)
[Git Repository ShortVariants-Annotation](https://github.com/JacquemontLab/ShortVariants-Annotation.git)
[](https://doi.org/10.5281/zenodo.16268986)
# ShortVariants-Annotation
#### A Next... |
f04d022fb535a95e2256b1b1aa25ab11806734f76c7ecf9717e6a2bc38135da0 | Text | 17,219 | 313 | > NEW VERSION: we are now correcting the inflation in TWAS due to the pervasive polygenicity of most complex traits. You will need to download the new release of the summary predixcan software as well as the new prediction models, which include necessary correction factors.
> See [TWAS inflation paper here](https://doi... |
bc7547513c96134b24885bd6f58ba900ee0168ec4ad075076c7685b85b83bee6 | Text | 17,475 | 569 | ## Introduction
This repository provides information regarding the construction of a
polygenic risk score (PRS) for Alzheimer Dieseses (AD) that we developed
in manuscript titled: **A multi-ancestry polygenic risk score for
Alzheimer disease is associated with cognitive decline, hippocampal
atrophy and neuropathologic... |
44b795c7ba9021a0fd89d50638df01f173bb2b288b7531953cab78153235fb94 | Text | 17,727 | 427 | # **CHROMAS** - A Computational Pipeline to Track Chromatophores and Analyze their Dynamics.
CHROMAS provides a flexible computational pipeline to track and analyze chromatophore dynamics from high-resolution videos of behaving cephalopods. This suite of functions, segments and classifies individual chromatophores, ... |
b848eb5f02de70e30f0e55e865b5380a011ba548db56727767455dd20f15b21c | Text | 17,910 | 364 | # Let Distortion Guide Restoration (DGR)
<div align="center">
[](https://doi.org/10.1093/radadv/umag031)
[](https://arxiv.org/abs/2601.00226)
[
Tool for fast and accurate white matter bundle segmentation from Diffusion MRI. It can create
bundle segmentations, segmentations of the endregions of bundles and Tract Orientation Maps (TOMs). Moreover, it can
do tracking on the TOMs creating bundle-specific tr... |
3be17cc2c2a3914a10a4afa7ad8648d07043e83a26845537b51fd1d82c2cd621 | Text | 20,990 | 507 | # Miniforge
[](https://github.com/conda-forge/miniforge/actions/workflows/ci.yml)
[](https://tooomm.github.io/github-release-stats/?... |
d7c7c2ebcc04febe39578326e8d5b822a886a6339e24bd6b1f69d7602d2db613 | Text | 21,049 | 330 | Fork of shap for computing hypothetical importance scores
---
This is a custom fork of the shap repository that has support for computing hypothetical importance scores, for use with TF-MoDISco. It was originally forked under AvantiShri/shap. Please see [these slides](https://docs.google.com/presentation/d/1JCLMTW7ppA3... |
79783aa5f2b57e00adae1f8cc97341c5b34f471d259664ce08c834cf2d95bf4b | Text | 21,212 | 242 | <br>
<div align="center">
<img src="https://github.com/vocalpy/vak/blob/main/doc/images/logo/vak-logo-primary.png?raw=True" width="400">
</div>
<hr>
## A neural network framework for researchers studying acoustic communication
[](https://zenodo.org/badge/latestdoi/173566... |
b28c74fe3cd6b69a8ba6d84891d0539e54dfef882abd5ed4d11ed0b029bb477a | Text | 22,092 | 444 |
# Tasks Assessing Protein Embeddings (TAPE)
Data, weights, and code for running the TAPE benchmark on a trained protein embedding. We provide a pretraining corpus, five supervised downstream tasks, pretrained language model weights, and benchmarking... |
05aa6941912ae099bb19ec42ea1b94053b59f795dbbc729a4223e337ffd35c5a | Text | 22,140 | 434 | [](https://opensource.org/licenses/MIT)
[](https://github.com/zalandoresearch/fashion-mnist/)
[](https://gitter.im/fashion-mnist/Lobby?utm_source=share-link&utm_mediu... |
2fe2d4d4a8542a2a1b4752f3c2458cd4a698122b7d062f66f1e5ae50694efac3 | Text | 23,186 | 571 | > ℹ️ main place where scprint is built and maintained
> 🎊 The scPRINT-2 model has now been released:
> [https://github.com/cantinilab/scPRINT-2](https://github.com/cantinilab/scPRINT-2)
# scPRINT: Large Cell Model for scRNAseq data
[.
It i... |
983bf72b35b14f32de549eb399ca61d3b018e59960e7a072670058b7ec89af92 | Text | 23,331 | 592 | # Fiber photometry analysis
MATLAB toolbox to process, plot and export fiber photometry data.
## Prerequisites
- [MATLAB][MATLAB] (last tested with `R2023b`)
## Installation
- Install [MATLAB][MATLAB] with the following toolboxes:
- Curve Fitting Toolbox (for `curvefit`, `fittype`, ...)
- Signal Processing Toolbox ... |
7172dc1b5856a80927325e2873497ea16c856d10ca73497ededf2833ae2dc85c | Text | 25,216 | 375 | # NeoHipp
Surface-based analysis of neocortical grey–white matter contrast ("blurring") in patients with hippocampal sclerosis (HS), and its relationship to epilepsy history, hippocampal volume asymmetry, and developmental/connectional maps of the cortex.
The pipeline builds on the [MELD classifier](https://github.co... |
e46956dde358939f269c1f10268bb23e320ab5056692f49cb34fcf2c5b7714fc | Text | 25,529 | 543 | # HIPPIE: High-dimensional Interpretation of Physiological Patterns In Intercellular Electrophysiology
[](LICENSE)
[](https://www.python.org/downloads/)
[![PyTorch](https://img.shie... |
99bfdf9693f175b6ab9d099d7734e8dfbfe2b6595650f41f6bda4ce61169529e | Text | 26,309 | 413 |
<!-- README.md is generated from README.Rmd. Please edit that file -->
# HumanPilot <img src="http://research.libd.org/spatialLIBD/reference/figures/logo.png" align="right" />
<!-- badges: start -->
[](https://zenodo.org/badge/latestdoi/225910046)
<!-- badges: end -->
... |
4a0f0213ad5458046ef8ee59b86a1050a8adb1f0876c146712fdb9efd71a3e5e | Text | 26,329 | 389 |
<h1>
<p align="center">
<img src="assets/MatterGenlogo_.png" alt="MatterGen logo" width="600"/>
</p>
</h1>
<h4 align="center">
[](https://www.nature.com/articles/s41586-025-08628-5)
[
## MOOSE 3.2 🦌- Furiously Fast. Brutally Efficient. Unmatched Precision. 💪
[](https://moosez.rtfd.io/en/latest/?badge=latest) [](https://doi.org/10.5281/zenodo.15094064)
# Hybrid-doc-relevance-training
This repository explores various **hybrid embedding approache**s** for assessing literature-based document-2-document recommendations by integrating semantics using the **RELISH c... |
5c4bd6befec5b726ede0b2227a3e7117043ba6d8150df77e36931cf61a86aae0 | Text | 31,365 | 342 | # LaBGAScore
Core scripts (and templates for them) for LaBGAS's (Laboratory for Brain-Gut Axis Studies, KU Leuven) standard neuroimaging analysis workflow.
> ### New to the lab? Start here
>
> 1. **[`LaBGAS_fMRI_analysis_workflow.md`](LaBGAS_fMRI_analysis_workflow.md)** — the
> step-by-step guide to running a stud... |
3c62d6a355e9a16a95ff7a7ad76f87410acf3662df3d0c14080f473f3d8f5773 | Text | 47,559 | 558 | [](https://anaconda.org/bioconda/fastp)
[](https://anaconda.org/bioconda/fastp)
[](https://proj.cse.cuhk.edu.hk/rnafm/#/)
[](https://arxiv.org/abs/2204.00300)
[](htt... |
c32a8274d47479f5e04cabebd7cfe85a20fa5915342c28ab10c3c347c8ecbe19 | TypeScript | 45 | 1 | import "#src/async_computation/vtk_mesh.js";
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d302ab578754d47ff5f7f93c94f5cdf412a1dda18e010dd08672f2b3b3da3b87 | TypeScript | 45 | 1 | import "#src/async_computation/obj_mesh.js";
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0ec14aaf0422b23969051de154b8dd8b17ac3d7cce17738c56d77ed04640041c | TypeScript | 48 | 1 | import "#src/async_computation/decode_jpeg.js";
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583a184a0d998d4fd8a222b20a47bdf85a1b6b428e9ed86dd236013df15f9d20 | TypeScript | 48 | 1 | import "#src/async_computation/decode_zstd.js";
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5ec2ac3ff9c6b3854895a2d710e81b315921f6dab07ff740f0d2b8fedcc167c6 | TypeScript | 74 | 4 | declare module "*?raw" {
const value: string;
export default value;
}
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01f05457ca1a8861a3a399518a2f840906c81f89fbefc7c1b607fa7a6106e0a3 | TypeScript | 80 | 2 | /// <reference path="raw.d.ts" />
/// <reference path="nifti-reader-js.d.ts" />
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d76b6bb25f71bc682f66f7c48341c3affc6bf86d4b8a2ee01f5a961ef7ed9a73 | TypeScript | 92 | 2 | import "core-js/actual/symbol/dispose.js";
import "core-js/actual/symbol/async-dispose.js";
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621b4963fa7c5222f42f8ba8c9e8624c822245c394e8e52308491ebf875a9c9e | TypeScript | 95 | 2 | import "#src/async_computation/decode_jpeg.js";
import "#src/async_computation/decode_png.js";
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a540e8efb01f83e4d71938e7551456d922e20d4374b95570f014a73595303085 | TypeScript | 97 | 2 | import "#src/async_computation/decode_blosc.js";
import "#src/async_computation/decode_zstd.js";
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17e4516205432827d362a5dcd018be8436d569fa6049e7f90119ff4511ebaddc | TypeScript | 119 | 3 | // No-op module to which other modules are conditionally redirected in order to
// disable them.
export default false;
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a2a0640451d0263b47e8ef708add74b75d4988d2716fa24112d7fbd83cb0f9f9 | TypeScript | 135 | 3 | // No-op module to which other modules are conditionally redirected in order to
// indicate something is enabled.
export default true;
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2ff9f80b4ac97b6806558140d6a3daececc74b74e7bb2a1bd4acf5d5138930bf | TypeScript | 146 | 3 | // DO NOT EDIT: Generated by config/update_conditions.ts
import "#kvstore/icechunk/async_computation";
import "#kvstore/ocdbt/async_computation";
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3234577c3122dcbd8360af2439f9a173b3d4ff56efe21a41afcdad8d612591b9 | TypeScript | 167 | 5 | // DO NOT EDIT: Generated by config/update_conditions.ts
import "#layer/annotation";
import "#layer/image";
import "#layer/segmentation";
import "#layer/single_mesh";
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dee719c59191f55e9be35099af192e3e30bd09109473c7e912d6bfc31915dddf | TypeScript | 187 | 4 | import "#src/util/polyfills.js";
import "#src/layer/enabled_frontend_modules.js";
import "#src/datasource/enabled_frontend_modules.js";
import "#src/kvstore/enabled_frontend_modules.js";
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c3c7f021b2ce30672fc95702aaf7c978d9a7b5530153d850076584fb99f9d5ae | TypeScript | 234 | 9 | import fs from "node:fs/promises";
import path from "node:path";
const rootDir = path.resolve(import.meta.dirname, "..");
await fs.rename(
path.resolve(rootDir, "package.json.prepack"),
path.resolve(rootDir, "package.json"),
);
|
ccd6ce1068f7c6b134744a779dc578f2025b4d39c4474a50834de6913a30b9cf | TypeScript | 246 | 5 | import "#src/async_computation/decode_jpeg.js";
import "#src/async_computation/decode_jxl.js";
import "#src/async_computation/decode_compresso.js";
import "#src/async_computation/decode_crackle.js";
import "#src/async_computation/decode_png.js";
|
ee756dfba4122d2acc94a39b2555d9f200fff56a87a8c0b10f9cd01df26a8b62 | TypeScript | 270 | 7 | import { defineCollection } from 'astro:content';
import { docsLoader } from '@astrojs/starlight/loaders';
import { docsSchema } from '@astrojs/starlight/schema';
export const collections = {
docs: defineCollection({ loader: docsLoader(), schema: docsSchema() }),
};
|
60b7c65f425be97b518ef0a3abb30cbaf01aaf935de32f22132587564a871a6a | TypeScript | 340 | 16 | import { webcrypto } from "node:crypto";
import type { JSDOM } from "jsdom";
declare let jsdom: JSDOM;
Object.defineProperty(globalThis, "crypto", {
value: webcrypto,
});
for (const name of [
/*"DOMParser", "XPathResult", "navigator"*/
] as const) {
Object.defineProperty(globalThis, name, {
value: jsdom.wi... |
dc685848599ea94313bcccc66a2621bf5acecde8f97233b87f5e2e228ef61819 | TypeScript | 450 | 11 | // DO NOT EDIT: Generated by config/update_conditions.ts
import "#kvstore/byte_range/register";
import "#kvstore/gcs/register";
import "#kvstore/gzip/register";
import "#kvstore/http/register_backend";
import "#kvstore/icechunk/register_backend";
import "#kvstore/middleauth/register_backend";
import "#kvstore/ngauth/re... |
23d2c293385facf4589c3126188bd6cd7a05aca6f2a18b436cfea80aca81575c | TypeScript | 533 | 14 | // DO NOT EDIT: Generated by config/update_conditions.ts
import "#datasource/boss/backend";
import "#datasource/brainmaps/backend";
import "#datasource/deepzoom/backend";
import "#datasource/dvid/backend";
import "#datasource/graphene/backend";
import "#datasource/n5/backend";
import "#datasource/nifti/backend";
import... |
21b50e80f5ac2aee354cc7a10ffff27fdb98199a623146f84013a9f419a2efb1 | TypeScript | 569 | 18 | import type { LifeCycleEventsMap, SetupApi } from "msw";
import { setupServer } from "msw/node";
import { afterEach } from "vitest";
import type { Fixture } from "#tests/fixtures/fixture.js";
import { fixture } from "#tests/fixtures/fixture.js";
export function mswFixture(): Fixture<SetupApi<LifeCycleEventsMap>> {
c... |
c49421996fe92d642a42b652ad8bed4f54323390ca8f0d5c8239c1635976e65c | TypeScript | 570 | 12 | // DO NOT EDIT: Generated by config/update_conditions.ts
import "#datasource/boss/async_computation";
import "#datasource/brainmaps/async_computation";
import "#datasource/deepzoom/async_computation";
import "#datasource/dvid/async_computation";
import "#datasource/graphene/async_computation";
import "#datasource/n5/as... |
67f279b56c1506f3cc85372ebb8a6639864b51310c76be55c7dd08d0e6ed6edf | TypeScript | 572 | 13 | // DO NOT EDIT: Generated by config/update_conditions.ts
import "#kvstore/byte_range/register";
import "#kvstore/gcs/register";
import "#kvstore/gzip/register";
import "#kvstore/http/register_frontend";
import "#kvstore/icechunk/register_frontend";
import "#kvstore/middleauth/register_frontend";
import "#kvstore/middle... |
feb09c3aa3d7eb840db1acf2713c2643a3d8df0bd742b7202e8e4b91068a154b | TypeScript | 607 | 16 | // Inject google tag manager script if `NEUROGLANCER_GOOGLE_TAG_MANAGER` is defined.
declare const NEUROGLANCER_GOOGLE_TAG_MANAGER: string | undefined;
if (typeof NEUROGLANCER_GOOGLE_TAG_MANAGER !== "undefined") {
const l = "dataLayer";
const i = NEUROGLANCER_GOOGLE_TAG_MANAGER;
(window as any)[l] = (window as a... |
052b7a35232c9d632fe65dc6dc05c7b93411c76252ab6dcdeb9d9b35c072b134 | TypeScript | 682 | 17 | /**
* @license
* Copyright 2018 Google Inc.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or... |
e2df0b60de40789865e882a236687313f9d7ff45aa001fc9f203d2c870ed0947 | TypeScript | 704 | 21 | import type { LifeCycleEventsMap, SetupApi } from "msw";
import { http, passthrough } from "msw";
import { setupWorker, type SetupWorkerApi } from "msw/browser";
import { afterEach } from "vitest";
import type { Fixture } from "#tests/fixtures/fixture.js";
import { fixture } from "#tests/fixtures/fixture.js";
export f... |
4e33d17b39b1ad9e502e2462267789240d97062c5c089a9b6ee5fa5f549b53aa | TypeScript | 708 | 19 | /**
* @license
* Copyright 2019 Google Inc.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or... |
e3252c0cf4cd84b50f30b64ac864c940574d106529b0f914a29393afdacbaeec | TypeScript | 726 | 18 | /**
* @license
* Copyright 2016 Google Inc.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or... |
0c6a7e9c0d65f7e04649f7297c671f5f8f3533b957393753bd3154b679bf2363 | TypeScript | 759 | 21 | /**
* @license
* Copyright 2016 Google Inc.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or... |
ebc6d40ed660b853614ea93264ba54416e2ec43a237abfa77a68fd1c2997f1a0 | TypeScript | 766 | 26 | import { TrackableEnum } from "#src/util/trackable_enum.js";
import type { VolumeRenderingRenderLayer } from "#src/volume_rendering/volume_render_layer.js";
export enum VolumeRenderingModes {
OFF = 0,
ON = 1,
MAX = 2,
MIN = 3,
}
export type TrackableVolumeRenderingModeValue =
TrackableEnum<VolumeRenderingMo... |
7a0c07aced65248f1750f94e0dc46d8ac3159c3b7009cdff12f38ee5ea2691bb | TypeScript | 777 | 22 | /**
* @license
* Copyright 2025 Google Inc.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or... |
7a369a3ab2a82d16f26ea17ae3eb46cbf7edda775f721dcf3b08a189185e27e1 | TypeScript | 778 | 22 | /**
* @license
* Copyright 2016 Google Inc.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or... |
40c27424666a67f3394585173d5b72290ab7db7eae2d68a47cf2f2aeccb4f56e | TypeScript | 787 | 20 | /**
* @license
* Copyright 2017 Google Inc.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or... |
e349b5737cda15c2f21dffe8cb74ef2a2bda1df3a87dc23c48afe9494c3ccd12 | TypeScript | 787 | 20 | /**
* @license
* Copyright 2017 Google Inc.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or... |
066575e905543c0cc121cffd19bb72b9c93b5dae3c09d549a094c2a6a9e82e76 | TypeScript | 793 | 20 | /**
* @license
* Copyright 2017 Google Inc.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or... |
7e9b0278b8f6683aedaec86322e12119e75c50c616b364fae38fb909a58b1b10 | TypeScript | 793 | 20 | /**
* @license
* Copyright 2024 Google Inc.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or... |
29efc6220373f7e41ee4a047f490f1337294693418353143f8a745c74904b83f | TypeScript | 796 | 20 | /**
* @license
* Copyright 2020 Google Inc.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or... |
187c9242a87faecb1e3a6335336855df2de06369b15909219114fcd52048d45e | TypeScript | 805 | 22 | /**
* @license
* Copyright 2023 Google Inc.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or... |
5d1fd7573bf683640fff4979bf7fb030f435f9bb758c0c66195a61500ad7801a | TypeScript | 807 | 22 | /**
* @license
* Copyright 2020 Google Inc.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or... |
c03f9d78065672b54429d04e5a02cdfa2f6539d96ba1dc28fe78c7bb7f50a3d9 | TypeScript | 809 | 23 | /**
* @license
* Copyright 2016 Google Inc.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or... |
2a9505be551b318f7ee8810c05aca87c65b4249b4fd75ae800c25af69ee75580 | TypeScript | 816 | 23 | /**
* @license
* Copyright 2019 Google Inc.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or... |
74d12aeb624d6360cfde7edd9183a926032dfe082676351e240eeaead2aa5dd1 | TypeScript | 816 | 22 | /**
* @license
* Copyright 2025 Google Inc.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or... |
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