ATProto Browser

Record data

{
  "uri": "at://did:plc:f6oy3on3vbkpf7vjo7sjnxvp/app.bsky.feed.post/3li3lblbaok2i",
  "cid": "bafyreid6axtmvesxfan6lfxf3ox6k6b6h6xya46r2kgpbbfmyveh4glh7e",
  "value": {
    "text": "Check out the paper for more details, including stratification by consequence trait, and eQTL:\nwww.biorxiv.org/content/10.1...",
    "$type": "app.bsky.feed.post",
    "embed": {
      "$type": "app.bsky.embed.external",
      "external": {
        "uri": "https://www.biorxiv.org/content/10.1101/2025.02.11.637758v1",
        "thumb": {
          "$type": "blob",
          "ref": {
            "$link": "bafkreiavxmopq7yjznm4waaw75azh7qq44nuyolxgkmcv7cozjrgz4mhpy"
          },
          "mimeType": "image/jpeg",
          "size": 265392
        },
        "title": "Benchmarking DNA Sequence Models for Causal Regulatory Variant Prediction in Human Genetics",
        "description": "Machine learning holds immense promise in biology, particularly for the challenging task of identifying causal variants for Mendelian and complex traits. Two primary approaches have emerged for this t..."
      }
    },
    "langs": [
      "en"
    ],
    "reply": {
      "root": {
        "cid": "bafyreicj4ihe3kxusgc7rts2xfmie6647n6uijaglmzjd5vano33yzynoe",
        "uri": "at://did:plc:f6oy3on3vbkpf7vjo7sjnxvp/app.bsky.feed.post/3li3lbghpls2i"
      },
      "parent": {
        "cid": "bafyreihzteycsm4mjapblcl4rp3qw4xxylxmt7ign76stfoom35ef4lud4",
        "uri": "at://did:plc:f6oy3on3vbkpf7vjo7sjnxvp/app.bsky.feed.post/3li3lblb7pc2i"
      }
    },
    "facets": [
      {
        "index": {
          "byteEnd": 126,
          "byteStart": 95
        },
        "features": [
          {
            "uri": "https://www.biorxiv.org/content/10.1101/2025.02.11.637758v1",
            "$type": "app.bsky.richtext.facet#link"
          }
        ]
      }
    ],
    "createdAt": "2025-02-13T20:57:36.408Z"
  }
}