Below are the most recent publications written about "Databases, Genetic" by people in Profiles.
-
Chen S, Francioli LC, Goodrich JK, Collins RL, Kanai M, Wang Q, Alf?ldi J, Watts NA, Vittal C, Gauthier LD, Poterba T, Wilson MW, Tarasova Y, Phu W, Grant R, Yohannes MT, Koenig Z, Farjoun Y, Banks E, Donnelly S, Gabriel S, Gupta N, Ferriera S, Tolonen C, Novod S, Bergelson L, Roazen D, Ruano-Rubio V, Covarrubias M, Llanwarne C, Petrillo N, Wade G, Jeandet T, Munshi R, Tibbetts K, O'Donnell-Luria A, Solomonson M, Seed C, Martin AR, Talkowski ME, Rehm HL, Daly MJ, Tiao G, Neale BM, MacArthur DG, Karczewski KJ. A genomic mutational constraint map using variation in 76,156 human genomes. Nature. 2024 Jan; 625(7993):92-100.
-
Olson RD, Assaf R, Brettin T, Conrad N, Cucinell C, Davis JJ, Dempsey DM, Dickerman A, Dietrich EM, Kenyon RW, Kuscuoglu M, Lefkowitz EJ, Lu J, Machi D, Macken C, Mao C, Niewiadomska A, Nguyen M, Olsen GJ, Overbeek JC, Parrello B, Parrello V, Porter JS, Pusch GD, Shukla M, Singh I, Stewart L, Tan G, Thomas C, VanOeffelen M, Vonstein V, Wallace ZS, Warren AS, Wattam AR, Xia F, Yoo H, Zhang Y, Zmasek CM, Scheuermann RH, Stevens RL. Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD?and ViPR. Nucleic Acids Res. 2023 01 06; 51(D1):D678-D689.
-
Ramirez M, Wu J, Liu M, Wu D, Weeden D, Goldowitz D. The Cerebellar Gene Database: a Collective Database of Genes Critical for Cerebellar Development. Cerebellum. 2022 Aug; 21(4):606-614.
-
Rosenbaum SR, Tiago M, Caksa S, Capparelli C, Purwin TJ, Kumar G, Glasheen M, Pomante D, Kotas D, Chervoneva I, Aplin AE. SOX10 requirement for melanoma tumor growth is due, in part, to immune-mediated effects. Cell Rep. 2021 12 07; 37(10):110085.
-
Vella V, Giuliano M, La Ferlita A, Pellegrino M, Gaudenzi G, Alaimo S, Massimino M, Pulvirenti A, Dicitore A, Vigneri P, Vitale G, Malaguarnera R, Morrione A, Sims AH, Ferro A, Maggiolini M, Lappano R, De Francesco EM, Belfiore A. Novel Mechanisms of Tumor Promotion by the Insulin Receptor Isoform A in Triple-Negative Breast Cancer Cells. Cells. 2021 11 12; 10(11).
-
Ross K, Varani AM, Snesrud E, Huang H, Alvarenga DO, Zhang J, Wu C, McGann P, Chandler M. TnCentral: a Prokaryotic Transposable Element Database and Web Portal for Transposon Analysis. mBio. 2021 10 26; 12(5):e0206021.
-
Wang J, Xiu J, Baca Y, Battaglin F, Arai H, Kawanishi N, Soni S, Zhang W, Millstein J, Salhia B, Goldberg RM, Philip PA, Seeber A, Hwang JJ, Shields AF, Marshall JL, Astsaturov I, Craig Lockhart A, Gatalica Z, Michael Korn W, Lenz HJ. Large-scale analysis of KMT2 mutations defines a distinctive molecular subset with treatment implication in gastric cancer. Oncogene. 2021 07; 40(30):4894-4905.
-
Campbell-Salome G, Jones LK, Masnick MF, Walton NA, Ahmed CD, Buchanan AH, Brangan A, Esplin ED, Kann DG, Ladd IG, Kelly MA, Kindt I, Kirchner HL, McGowan MP, McMinn MN, Morales A, Myers KD, Oetjens MT, Rahm AK, Schmidlen TJ, Sheldon A, Simmons E, Snir M, Strande NT, Walters NL, Wilemon K, Williams MS, Gidding SS, Sturm AC. Developing and Optimizing Innovative Tools to Address Familial Hypercholesterolemia Underdiagnosis: Identification Methods, Patient Activation, and Cascade Testing for Familial Hypercholesterolemia. Circ Genom Precis Med. 2021 02; 14(1):e003120.
-
Wang M, Li A, Sekiya M, Beckmann ND, Quan X, Schrode N, Fernando MB, Yu A, Zhu L, Cao J, Lyu L, Horgusluoglu E, Wang Q, Guo L, Wang YS, Neff R, Song WM, Wang E, Shen Q, Zhou X, Ming C, Ho SM, Vatansever S, Kaniskan H?, Jin J, Zhou MM, Ando K, Ho L, Slesinger PA, Yue Z, Zhu J, Katsel P, Gandy S, Ehrlich ME, Fossati V, Noggle S, Cai D, Haroutunian V, Iijima KM, Schadt E, Brennand KJ, Zhang B. Transformative Network Modeling of Multi-omics Data Reveals Detailed Circuits, Key Regulators, and Potential Therapeutics for Alzheimer's Disease. Neuron. 2021 01 20; 109(2):257-272.e14.
-
Tanevski J, Nguyen T, Truong B, Karaiskos N, Ahsen ME, Zhang X, Shu C, Xu K, Liang X, Hu Y, Pham HV, Xiaomei L, Le TD, Tarca AL, Bhatti G, Romero R, Karathanasis N, Loher P, Chen Y, Ouyang Z, Mao D, Zhang Y, Zand M, Ruan J, Hafemeister C, Qiu P, Tran D, Nguyen T, Gabor A, Yu T, Guinney J, Glaab E, Krause R, Banda P, Stolovitzky G, Rajewsky N, Saez-Rodriguez J, Meyer P. Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data. Life Sci Alliance. 2020 11; 3(11).