{ "id": 411777, "title": "CAFA Related Papers", "url": "/competitions/cafa-5-protein-function-prediction/discussion/411777", "author_name": "", "post_date": "2023-05-21T03:49:31.965738800Z", "votes": 10, "comment_count": 1, "views": 0, "content": "
    \n

  1. The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens. Genome Biology. https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1835-8#Abs1

    2. \n

  2. A large-scale evaluation of computational protein function prediction. Nature Methods. https://www.nature.com/articles/nmeth.2340

    3. \n

  3. Characterizing the state of the art in the computational assignment of gene function: lessons from the first critical assessment of functional annotation (CAFA).BMC Bioinformatics. https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-14-S3-S15

    4. \n

  4. CAFA and the open world of protein function predictions. Trends Genet. https://www.cell.com/trends/genetics/fulltext/S0168-9525(13)00166-2?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0168952513001662%3Fshowall%3Dtrue

    5. \n

  5. CAFA2. Zenodo. https://doi.org/10.5281/zenodo.3403452

    6. \n
", "messages": [ { "id": "2267529", "postDate": "05/21/2023 03:49:31", "content": "
    \n

  1. The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens. Genome Biology. https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1835-8#Abs1

    2. \n

  2. A large-scale evaluation of computational protein function prediction. Nature Methods. https://www.nature.com/articles/nmeth.2340

    3. \n

  3. Characterizing the state of the art in the computational assignment of gene function: lessons from the first critical assessment of functional annotation (CAFA).BMC Bioinformatics. https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-14-S3-S15

    4. \n

  4. CAFA and the open world of protein function predictions. Trends Genet. https://www.cell.com/trends/genetics/fulltext/S0168-9525(13)00166-2?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0168952513001662%3Fshowall%3Dtrue

    5. \n

  5. CAFA2. Zenodo. https://doi.org/10.5281/zenodo.3403452

    6. \n
", "rawMarkdown": "1. The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens. Genome Biology. [https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1835-8#Abs1](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1835-8#Abs1)\n\n2. A large-scale evaluation of computational protein function prediction. Nature Methods. [https://www.nature.com/articles/nmeth.2340](https://www.nature.com/articles/nmeth.2340)\n\n3. Characterizing the state of the art in the computational assignment of gene function: lessons from the first critical assessment of functional annotation (CAFA).BMC Bioinformatics. [https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-14-S3-S15](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-14-S3-S15)\n\n4. CAFA and the open world of protein function predictions. Trends Genet. [https://www.cell.com/trends/genetics/fulltext/S0168-9525(13)00166-2?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0168952513001662%3Fshowall%3Dtrue](https://www.cell.com/trends/genetics/fulltext/S0168-9525(13)00166-2?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0168952513001662%3Fshowall%3Dtrue)\n\n5. CAFA2. Zenodo. [https://doi.org/10.5281/zenodo.3403452]( https://doi.org/10.5281/zenodo.3403452)", "votes": null }, { "id": "2267538", "postDate": "05/21/2023 04:10:40", "content": "

Thanks for sharing :)

", "rawMarkdown": "Thanks for sharing :)", "votes": null } ], "comments": [ { "id": 2267538, "author_name": "cafelatte1", "author_url": "", "post_date": "05/21/2023 04:10:40", "content": "

Thanks for sharing :)

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "2267529": "1. The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens. Genome Biology. [https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1835-8#Abs1](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1835-8#Abs1)\n\n2. A large-scale evaluation of computational protein function prediction. Nature Methods. [https://www.nature.com/articles/nmeth.2340](https://www.nature.com/articles/nmeth.2340)\n\n3. Characterizing the state of the art in the computational assignment of gene function: lessons from the first critical assessment of functional annotation (CAFA).BMC Bioinformatics. [https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-14-S3-S15](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-14-S3-S15)\n\n4. CAFA and the open world of protein function predictions. Trends Genet. [https://www.cell.com/trends/genetics/fulltext/S0168-9525(13)00166-2?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0168952513001662%3Fshowall%3Dtrue](https://www.cell.com/trends/genetics/fulltext/S0168-9525(13)00166-2?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0168952513001662%3Fshowall%3Dtrue)\n\n5. CAFA2. Zenodo. [https://doi.org/10.5281/zenodo.3403452]( https://doi.org/10.5281/zenodo.3403452)", "2267538": "Thanks for sharing :)" }, "source": "meta" }