Literature DB >> 31110280

CancerMine: a literature-mined resource for drivers, oncogenes and tumor suppressors in cancer.

Jake Lever1,2, Eric Y Zhao1,2, Jasleen Grewal1,2, Martin R Jones1, Steven J M Jones3,4,5.   

Abstract

Tumors from individuals with cancer are frequently genetically profiled for information about the driving forces behind the disease. We present the CancerMine resource, a text-mined and routinely updated database of drivers, oncogenes and tumor suppressors in different types of cancer. All data are available online ( http://bionlp.bcgsc.ca/cancermine ) and downloadable under a Creative Commons Zero license for ease of use.

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Mesh：

Year:  2019        PMID： 31110280     DOI： 10.1038/s41592-019-0422-y

Source DB:  PubMed          Journal:  Nat Methods        ISSN： 1548-7091            Impact factor:   28.547


  44 in total

1.  Statistical analysis of spatial expression patterns for spatially resolved transcriptomic studies.

Authors:  Shiquan Sun; Jiaqiang Zhu; Xiang Zhou
Journal:  Nat Methods       Date:  2020-01-27       Impact factor: 28.547

2.  Text-mining in cancer research may help identify effective treatments.

Authors:  Yi-Wen Hsiao; Tzu-Pin Lu
Journal:  Transl Lung Cancer Res       Date:  2019-12

3.  DriveWays: a method for identifying possibly overlapping driver pathways in cancer.

Authors:  Ilyes Baali; Cesim Erten; Hilal Kazan
Journal:  Sci Rep       Date:  2020-12-15       Impact factor: 4.379

4.  3'untranslated regions of tumor suppressor genes evolved specific features to favor cancer resistance.

Authors:  Dan Huang; Xiansong Wang; Ziheng Huang; Yingzhi Liu; Xiaodong Liu; Tony Gin; Sunny Hei Wong; Jun Yu; Lin Zhang; Matthew Tak Vai Chan; Huarong Chen; William Ka Kei Wu
Journal:  Oncogene       Date:  2022-05-06       Impact factor: 9.867

5.  Statistical analysis of spatially resolved transcriptomic data by incorporating multiomics auxiliary information.

Authors:  Yan Li; Xiang Zhou; Hongyuan Cao
Journal:  Genetics       Date:  2022-07-30       Impact factor: 4.402

6.  e-MutPath: computational modeling reveals the functional landscape of genetic mutations rewiring interactome networks.

Authors:  Yongsheng Li; Brandon Burgman; Ishaani S Khatri; Sairahul R Pentaparthi; Zhe Su; Daniel J McGrail; Yang Li; Erxi Wu; S Gail Eckhardt; Nidhi Sahni; S Stephen Yi
Journal:  Nucleic Acids Res       Date:  2021-01-11       Impact factor: 16.971

7.  PGxMine: Text mining for curation of PharmGKB.

Authors:  Jake Lever; Julia M Barbarino; Li Gong; Rachel Huddart; Katrin Sangkuhl; Ryan Whaley; Michelle Whirl-Carrillo; Mark Woon; Teri E Klein; Russ B Altman
Journal:  Pac Symp Biocomput       Date:  2020

8.  Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets.

Authors:  Denis Newman-Griffis; Guy Divita; Bart Desmet; Ayah Zirikly; Carolyn P Rosé; Eric Fosler-Lussier
Journal:  J Am Med Inform Assoc       Date:  2021-03-01       Impact factor: 4.497

9.  RNA splicing and aggregate gene expression differences in lung squamous cell carcinoma between patients of West African and European ancestry.

Authors:  April E Deveaux; Tyler A Allen; Muthana Al Abo; Xiaodi Qin; Dadong Zhang; Brendon M Patierno; Lin Gu; Jhanelle E Gray; Chad V Pecot; Holly K Dressman; Shannon J McCall; Rick A Kittles; Terry Hyslop; Kouros Owzar; Jeffrey Crawford; Steven R Patierno; Jeffrey M Clarke; Jennifer A Freedman
Journal:  Lung Cancer       Date:  2021-01-14       Impact factor: 5.705

10.  A computational approach for the discovery of significant cancer genes by weighted mutation and asymmetric spreading strength in networks.

Authors:  Jorge Francisco Cutigi; Adriane Feijo Evangelista; Rui Manuel Reis; Adenilso Simao
Journal:  Sci Rep       Date:  2021-12-07       Impact factor: 4.379
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