|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "metadata": {}, |
| 6 | + "source": [ |
| 7 | + "# Hubmap: scRNA-seq" |
| 8 | + ] |
| 9 | + }, |
| 10 | + { |
| 11 | + "cell_type": "markdown", |
| 12 | + "metadata": {}, |
| 13 | + "source": [ |
| 14 | + "The [HubMAP (Human BioMolecular Atlas Program) consortium](https://hubmapconsortium.org/) is an initiative mapping human cells to create a comprehensive atlas, with its [Data Portal](https://portal.hubmapconsortium.org/) serving as the platform where researchers can access, visualize, and download (single-cell) tissue data.\n", |
| 15 | + "\n", |
| 16 | + "Lamin mirrors most of the datasets for simplified access here: [laminlabs/hubmap](https://lamin.ai/laminlabs/hubmap).\n", |
| 17 | + "\n", |
| 18 | + "If you use the data academically, please cite the original publication [Jain et al. 2023](https://www.nature.com/articles/s41556-023-01194-w).\n", |
| 19 | + "\n", |
| 20 | + "Here, we show how the HubMAP instance is structured and how datasets and be queried and accessed." |
| 21 | + ] |
| 22 | + }, |
| 23 | + { |
| 24 | + "cell_type": "markdown", |
| 25 | + "metadata": {}, |
| 26 | + "source": [ |
| 27 | + "Connect to the source instance:" |
| 28 | + ] |
| 29 | + }, |
| 30 | + { |
| 31 | + "cell_type": "code", |
| 32 | + "execution_count": null, |
| 33 | + "metadata": { |
| 34 | + "tags": [ |
| 35 | + "hide-output" |
| 36 | + ] |
| 37 | + }, |
| 38 | + "outputs": [], |
| 39 | + "source": [ |
| 40 | + "# pip install 'lamindb[jupyter,bionty,wetlab]'\n", |
| 41 | + "!lamin connect laminlabs/hubmap" |
| 42 | + ] |
| 43 | + }, |
| 44 | + { |
| 45 | + "cell_type": "markdown", |
| 46 | + "metadata": {}, |
| 47 | + "source": [ |
| 48 | + "```{note}\n", |
| 49 | + "\n", |
| 50 | + "If you want to transfer artifacts or metadata into your own instance, use `.using(\"laminlabs/hubmap\")` when accessing registries and then `.save()` ({doc}`/transfer`).\n", |
| 51 | + "\n", |
| 52 | + "```" |
| 53 | + ] |
| 54 | + }, |
| 55 | + { |
| 56 | + "cell_type": "code", |
| 57 | + "execution_count": null, |
| 58 | + "metadata": { |
| 59 | + "tags": [ |
| 60 | + "hide-output" |
| 61 | + ] |
| 62 | + }, |
| 63 | + "outputs": [], |
| 64 | + "source": [ |
| 65 | + "import lamindb as ln" |
| 66 | + ] |
| 67 | + }, |
| 68 | + { |
| 69 | + "cell_type": "markdown", |
| 70 | + "metadata": {}, |
| 71 | + "source": [ |
| 72 | + "## Getting HubMAP datasets and data products" |
| 73 | + ] |
| 74 | + }, |
| 75 | + { |
| 76 | + "cell_type": "markdown", |
| 77 | + "metadata": {}, |
| 78 | + "source": [ |
| 79 | + "HubMAP associates several data products, which are the single raw datasets, into higher level datasets.\n", |
| 80 | + "For example, the dataset [HBM983.LKMP.544](https://portal.hubmapconsortium.org/browse/dataset/20ee458e5ee361717b68ca72caf6044e) has three data products:\n", |
| 81 | + "\n", |
| 82 | + "1. [raw_expr.h5ad](https://assets.hubmapconsortium.org/f6eb890063d13698feb11d39fa61e45a/raw_expr.h5ad)\n", |
| 83 | + "1. [expr.h5ad](https://assets.hubmapconsortium.org/f6eb890063d13698feb11d39fa61e45a/expr.h5ad)\n", |
| 84 | + "2. [secondary_analysis.h5ad](https://assets.hubmapconsortium.org/f6eb890063d13698feb11d39fa61e45a/secondary_analysis.h5ad)\n", |
| 85 | + "3. [scvelo_annotated.h5ad](https://assets.hubmapconsortium.org/f6eb890063d13698feb11d39fa61e45a/scvelo_annotated.h5ad)\n", |
| 86 | + "\n", |
| 87 | + "The [laminlabs/hubmap](https://lamin.ai/laminlabs/hubmap) instance registers these data products as {class}`~lamindb.Artifact` that jointly form a {class}`~lamindb.Collection`." |
| 88 | + ] |
| 89 | + }, |
| 90 | + { |
| 91 | + "cell_type": "markdown", |
| 92 | + "metadata": {}, |
| 93 | + "source": [ |
| 94 | + "The `key` attribute of `ln.Artifact` and `ln.Collection` corresponds to the IDs of the URLs.\n", |
| 95 | + "For example, the id in the URL [https://portal.hubmapconsortium.org/browse/dataset/20ee458e5ee361717b68ca72caf6044e](https://portal.hubmapconsortium.org/browse/dataset/20ee458e5ee361717b68ca72caf6044e) is the `key` of the corresponding collection:" |
| 96 | + ] |
| 97 | + }, |
| 98 | + { |
| 99 | + "cell_type": "code", |
| 100 | + "execution_count": null, |
| 101 | + "metadata": { |
| 102 | + "tags": [ |
| 103 | + "hide-output" |
| 104 | + ] |
| 105 | + }, |
| 106 | + "outputs": [], |
| 107 | + "source": [ |
| 108 | + "small_intenstine_collection = ln.Collection.get(key=\"20ee458e5ee361717b68ca72caf6044e\")\n", |
| 109 | + "small_intenstine_collection" |
| 110 | + ] |
| 111 | + }, |
| 112 | + { |
| 113 | + "cell_type": "markdown", |
| 114 | + "metadata": {}, |
| 115 | + "source": [ |
| 116 | + "We can get all associated data products like:" |
| 117 | + ] |
| 118 | + }, |
| 119 | + { |
| 120 | + "cell_type": "code", |
| 121 | + "execution_count": null, |
| 122 | + "metadata": { |
| 123 | + "tags": [ |
| 124 | + "hide-output" |
| 125 | + ] |
| 126 | + }, |
| 127 | + "outputs": [], |
| 128 | + "source": [ |
| 129 | + "small_intenstine_collection.artifacts.all().df()" |
| 130 | + ] |
| 131 | + }, |
| 132 | + { |
| 133 | + "cell_type": "markdown", |
| 134 | + "metadata": {}, |
| 135 | + "source": [ |
| 136 | + "Note the key of these three `Artifacts` which corresponds to the assets URL.\n", |
| 137 | + "For example, [https://assets.hubmapconsortium.org/f6eb890063d13698feb11d39fa61e45a/expr.h5ad](https://assets.hubmapconsortium.org/f6eb890063d13698feb11d39fa61e45a/expr.h5ad) is the direct URL to the `expr.h5ad` data product.\n", |
| 138 | + "\n", |
| 139 | + "Artifacts can be directly loaded:" |
| 140 | + ] |
| 141 | + }, |
| 142 | + { |
| 143 | + "cell_type": "code", |
| 144 | + "execution_count": null, |
| 145 | + "metadata": { |
| 146 | + "tags": [ |
| 147 | + "hide-output" |
| 148 | + ] |
| 149 | + }, |
| 150 | + "outputs": [], |
| 151 | + "source": [ |
| 152 | + "small_intenstine_af = (\n", |
| 153 | + " small_intenstine_collection.artifacts.filter(key__icontains=\"raw_expr.h5ad\")\n", |
| 154 | + " .distinct()\n", |
| 155 | + " .one()\n", |
| 156 | + ")\n", |
| 157 | + "adata = small_intenstine_af.load()\n", |
| 158 | + "adata" |
| 159 | + ] |
| 160 | + }, |
| 161 | + { |
| 162 | + "cell_type": "markdown", |
| 163 | + "metadata": {}, |
| 164 | + "source": [ |
| 165 | + "## Querying single-cell datasets" |
| 166 | + ] |
| 167 | + }, |
| 168 | + { |
| 169 | + "cell_type": "markdown", |
| 170 | + "metadata": {}, |
| 171 | + "source": [ |
| 172 | + "Currently, only the `Artifacts` of the `raw_expr.h5ad` data products are labeled with metadata.\n", |
| 173 | + "The available metadata includes `ln.Reference`, `bt.Tissue`, `bt.Disease`, `bt.ExperimentalFactor`, and many more.\n", |
| 174 | + "Please have a look at [the instance](https://lamin.ai/laminlabs/hubmap) for more details." |
| 175 | + ] |
| 176 | + }, |
| 177 | + { |
| 178 | + "cell_type": "code", |
| 179 | + "execution_count": null, |
| 180 | + "metadata": { |
| 181 | + "tags": [ |
| 182 | + "hide-output" |
| 183 | + ] |
| 184 | + }, |
| 185 | + "outputs": [], |
| 186 | + "source": [ |
| 187 | + "# Get one dataset with a specific type of heart failure\n", |
| 188 | + "heart_failure_adata = (\n", |
| 189 | + " ln.Artifact.filter(diseases__name=\"heart failure with reduced ejection fraction\")\n", |
| 190 | + " .first()\n", |
| 191 | + " .load()\n", |
| 192 | + ")\n", |
| 193 | + "heart_failure_adata" |
| 194 | + ] |
| 195 | + } |
| 196 | + ], |
| 197 | + "metadata": { |
| 198 | + "kernelspec": { |
| 199 | + "display_name": "lamindb", |
| 200 | + "language": "python", |
| 201 | + "name": "python3" |
| 202 | + }, |
| 203 | + "language_info": { |
| 204 | + "codemirror_mode": { |
| 205 | + "name": "ipython", |
| 206 | + "version": 3 |
| 207 | + }, |
| 208 | + "file_extension": ".py", |
| 209 | + "mimetype": "text/x-python", |
| 210 | + "name": "python", |
| 211 | + "nbconvert_exporter": "python", |
| 212 | + "pygments_lexer": "ipython3", |
| 213 | + "version": "3.12.8" |
| 214 | + } |
| 215 | + }, |
| 216 | + "nbformat": 4, |
| 217 | + "nbformat_minor": 2 |
| 218 | +} |
0 commit comments