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Items: 1 to 50 of 92

1.

Assessment of predicted enzymatic activity of alpha-N-acetylglucosaminidase (NAGLU) variants of unknown significance for CAGI 2016.

Clark WT, Kasak L, Bakolitsa C, Hu Z, Andreoletti G, Babbi G, Bromberg Y, Casadio R, Dunbrack R, Folkman L, Ford CT, Jones D, Katsonis P, Kundu K, Lichtarge O, Martelli PL, Mooney SD, Nodzak C, Pal LR, Radivojac P, Savojardo C, Shi X, Zhou Y, Uppal A, Xu Q, Yin Y, Pejaver V, Wang M, Wei L, Moult J, Yu GK, Brenner SE, LeBowitz JH.

Hum Mutat. 2019 Jul 24. doi: 10.1002/humu.23875. [Epub ahead of print]

PMID:
31342580
2.

CAGI SickKids challenges: Assessment of phenotype and variant predictions derived from clinical and genomic data of children with undiagnosed diseases.

Kasak L, Hunter JM, Udani R, Bakolitsa C, Hu Z, Adhikari AN, Babbi G, Casadio R, Gough J, Guerrero RF, Jiang Y, Joseph T, Katsonis P, Kotte S, Kundu K, Lichtarge O, Martelli PL, Mooney SD, Moult J, Pal LR, Poitras J, Radivojac P, Rao A, Sivadasan N, Sunderam U, Saipradeep VG, Yin Y, Zaucha J, Brenner SE, Meyn MS.

Hum Mutat. 2019 Jul 19. doi: 10.1002/humu.23874. [Epub ahead of print]

PMID:
31322791
3.

Assessing Computational Predictions of the Phenotypic Effect of Cystathionine-beta-Synthase Variants.

Kasak L, Bakolitsa C, Hu Z, Yu C, Rine J, Dimster-Denk DF, Pandey G, De Baets G, Bromberg Y, Cao C, Capriotti E, Casadio R, Van Durme J, Giollo M, Karchin R, Katsonis P, Leonardi E, Lichtarge O, Martelli PL, Masica D, Mooney SD, Olatubosun A, Pal LR, Radivojac P, Rousseau F, Savojardo C, Schymkowitz J, Thusberg J, Tosatto SCE, Vihinen M, Väliaho J, Repo S, Moult J, Brenner SE, Friedberg I.

Hum Mutat. 2019 Jul 13. doi: 10.1002/humu.23868. [Epub ahead of print]

PMID:
31301157
4.

Assessment of blind predictions of the clinical significance of BRCA1 and BRCA2 variants.

Cline MS, Babbi G, Bonache S, Cao Y, Casadio R, de la Cruz X, Díez O, Gutiérrez-Enríquez S, Katsonis P, Lai C, Lichtarge O, Martelli PL, Mishne G, Moles-Fernández A, Montalban G, Mooney SD, O'Conner R, Ootes L, Özkan S, Padilla N, Pagel KA, Pejaver V, Radivojac P, Riera C, Savojardo C, Shen Y, Sun Y, Topper S, Parsons MT, Spurdle AB, Goldgar DE; ENIGMA Consortium.

Hum Mutat. 2019 Jul 11. doi: 10.1002/humu.23861. [Epub ahead of print]

PMID:
31294896
5.

Assessing the performance of in-silico methods for predicting the pathogenicity of variants in the gene CHEK2, among Hispanic females with breast cancer.

Voskanian A, Katsonis P, Lichtarge O, Pejaver V, Radivojac P, Mooney SD, Capriotti E, Bromberg Y, Wang Y, Miller M, Martelli PL, Savojardo C, Babbi G, Casadio R, Cao Y, Sun Y, Shen Y, Garg A, Pal D, Yu Y, Huff CD, Tavtigian SV, Young E, Neuhausen SL, Ziv E, Pal LR, Andreoletti G, Brenner S, Kann MG.

Hum Mutat. 2019 Jun 26. doi: 10.1002/humu.23849. [Epub ahead of print]

PMID:
31241222
6.

Pathogenicity and functional impact of non-frameshifting insertion/deletion variation in the human genome.

Pagel KA, Antaki D, Lian A, Mort M, Cooper DN, Sebat J, Iakoucheva LM, Mooney SD, Radivojac P.

PLoS Comput Biol. 2019 Jun 14;15(6):e1007112. doi: 10.1371/journal.pcbi.1007112. eCollection 2019 Jun.

7.

Predicting venous thromboembolism risk from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges.

McInnes G, Daneshjou R, Katsonis P, Lichtarge O, Srinivasan RG, Rana S, Radivojac P, Mooney SD, Pagel KA, Stamboulian M, Jiang Y, Capriotti E, Wang Y, Bromberg Y, Bovo S, Savojardo C, Martelli PL, Casadio R, Pal LR, Moult J, Brenner S, Altman R.

Hum Mutat. 2019 May 29. doi: 10.1002/humu.23825. [Epub ahead of print]

PMID:
31140652
8.

Continuing challenges swirl around bioinformatics service delivery.

Mooney SD.

J Biomed Inform. 2019 Jun;94:103209. doi: 10.1016/j.jbi.2019.103209. Epub 2019 May 9. No abstract available.

PMID:
31077816
9.

New Drosophila Long-Term Memory Genes Revealed by Assessing Computational Function Prediction Methods.

Kacsoh BZ, Barton S, Jiang Y, Zhou N, Mooney SD, Friedberg I, Radivojac P, Greene CS, Bosco G.

G3 (Bethesda). 2019 Jan 9;9(1):251-267. doi: 10.1534/g3.118.200867.

10.

The accuracy of passive phone sensors in predicting daily mood.

Pratap A, Atkins DC, Renn BN, Tanana MJ, Mooney SD, Anguera JA, Areán PA.

Depress Anxiety. 2019 Jan;36(1):72-81. doi: 10.1002/da.22822. Epub 2018 Aug 21.

PMID:
30129691
11.

Smartphone-Based Passive Assessment of Mobility in Depression: Challenges and Opportunities.

Renn BN, Pratap A, Atkins DC, Mooney SD, Areán PA.

Ment Health Phys Act. 2018 Mar;14:136-139. doi: 10.1016/j.mhpa.2018.04.003. Epub 2018 Apr 18.

12.

Using Mobile Apps to Assess and Treat Depression in Hispanic and Latino Populations: Fully Remote Randomized Clinical Trial.

Pratap A, Renn BN, Volponi J, Mooney SD, Gazzaley A, Arean PA, Anguera JA.

J Med Internet Res. 2018 Aug 9;20(8):e10130. doi: 10.2196/10130.

13.

Methods and tools for assessing the impact of genetic variations: The 2017 Annual Scientific Meeting of the Human Genome Variation Society.

Oetting WS, Béroud C, Brenner SE, Greenblatt MS, Karchin R, Mooney SD.

Hum Mutat. 2018 Mar;39(3):454-458. doi: 10.1002/humu.23393. Epub 2018 Jan 15. No abstract available.

14.

Mapping genetic variations to three-dimensional protein structures to enhance variant interpretation: a proposed framework.

Glusman G, Rose PW, Prlić A, Dougherty J, Duarte JM, Hoffman AS, Barton GJ, Bendixen E, Bergquist T, Bock C, Brunk E, Buljan M, Burley SK, Cai B, Carter H, Gao J, Godzik A, Heuer M, Hicks M, Hrabe T, Karchin R, Leman JK, Lane L, Masica DL, Mooney SD, Moult J, Omenn GS, Pearl F, Pejaver V, Reynolds SM, Rokem A, Schwede T, Song S, Tilgner H, Valasatava Y, Zhang Y, Deutsch EW.

Genome Med. 2017 Dec 18;9(1):113. doi: 10.1186/s13073-017-0509-y. Review.

15.

Technology Use, Preferences, and Capacity in Injured Patients at Risk for Posttraumatic Stress Disorder.

Kelly CM, Van Eaton EG, Russo JE, Kelly VC, Jurkovich GJ, Darnell DA, Whiteside LK, Wang J, Parker LE, Payne TH, Mooney SD, Bush N, Zatzick DF.

Psychiatry. 2017 Fall;80(3):279-285. doi: 10.1080/00332747.2016.1271162.

PMID:
29087256
16.

Biological and functional relevance of CASP predictions.

Liu T, Ish-Shalom S, Torng W, Lafita A, Bock C, Mort M, Cooper DN, Bliven S, Capitani G, Mooney SD, Altman RB.

Proteins. 2018 Mar;86 Suppl 1:374-386. doi: 10.1002/prot.25396. Epub 2017 Oct 17.

17.

When loss-of-function is loss of function: assessing mutational signatures and impact of loss-of-function genetic variants.

Pagel KA, Pejaver V, Lin GN, Nam HJ, Mort M, Cooper DN, Sebat J, Iakoucheva LM, Mooney SD, Radivojac P.

Bioinformatics. 2017 Jul 15;33(14):i389-i398. doi: 10.1093/bioinformatics/btx272.

18.

Automating Construction of Machine Learning Models With Clinical Big Data: Proposal Rationale and Methods.

Luo G, Stone BL, Johnson MD, Tarczy-Hornoch P, Wilcox AB, Mooney SD, Sheng X, Haug PJ, Nkoy FL.

JMIR Res Protoc. 2017 Aug 29;6(8):e175. doi: 10.2196/resprot.7757.

19.

Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges.

Daneshjou R, Wang Y, Bromberg Y, Bovo S, Martelli PL, Babbi G, Lena PD, Casadio R, Edwards M, Gifford D, Jones DT, Sundaram L, Bhat RR, Li X, Pal LR, Kundu K, Yin Y, Moult J, Jiang Y, Pejaver V, Pagel KA, Li B, Mooney SD, Radivojac P, Shah S, Carraro M, Gasparini A, Leonardi E, Giollo M, Ferrari C, Tosatto SCE, Bachar E, Azaria JR, Ofran Y, Unger R, Niroula A, Vihinen M, Chang B, Wang MH, Franke A, Petersen BS, Pirooznia M, Zandi P, McCombie R, Potash JB, Altman RB, Klein TE, Hoskins RA, Repo S, Brenner SE, Morgan AA.

Hum Mutat. 2017 Sep;38(9):1182-1192. doi: 10.1002/humu.23280. Epub 2017 Jul 7.

20.

Matching phenotypes to whole genomes: Lessons learned from four iterations of the personal genome project community challenges.

Cai B, Li B, Kiga N, Thusberg J, Bergquist T, Chen YC, Niknafs N, Carter H, Tokheim C, Beleva-Guthrie V, Douville C, Bhattacharya R, Yeo HTG, Fan J, Sengupta S, Kim D, Cline M, Turner T, Diekhans M, Zaucha J, Pal LR, Cao C, Yu CH, Yin Y, Carraro M, Giollo M, Ferrari C, Leonardi E, Tosatto SCE, Bobe J, Ball M, Hoskins RA, Repo S, Church G, Brenner SE, Moult J, Gough J, Stanke M, Karchin R, Mooney SD.

Hum Mutat. 2017 Sep;38(9):1266-1276. doi: 10.1002/humu.23265. Epub 2017 Jun 19.

21.

Missense variant pathogenicity predictors generalize well across a range of function-specific prediction challenges.

Pejaver V, Mooney SD, Radivojac P.

Hum Mutat. 2017 Sep;38(9):1092-1108. doi: 10.1002/humu.23258. Epub 2017 Jun 12.

22.

Newborn Sequencing in Genomic Medicine and Public Health.

Berg JS, Agrawal PB, Bailey DB Jr, Beggs AH, Brenner SE, Brower AM, Cakici JA, Ceyhan-Birsoy O, Chan K, Chen F, Currier RJ, Dukhovny D, Green RC, Harris-Wai J, Holm IA, Iglesias B, Joseph G, Kingsmore SF, Koenig BA, Kwok PY, Lantos J, Leeder SJ, Lewis MA, McGuire AL, Milko LV, Mooney SD, Parad RB, Pereira S, Petrikin J, Powell BC, Powell CM, Puck JM, Rehm HL, Risch N, Roche M, Shieh JT, Veeraraghavan N, Watson MS, Willig L, Yu TW, Urv T, Wise AL.

Pediatrics. 2017 Feb;139(2). pii: e20162252. doi: 10.1542/peds.2016-2252. Epub 2017 Jan 17.

23.

Non-Coding Variation: The 2016 Annual Scientific Meeting of the Human Genome Variation Society.

Oetting WS, Béroud C, Brenner SE, Greenblatt M, Karchin R, Mooney SD, Sunyaev S.

Hum Mutat. 2017 Apr;38(4):460-463. doi: 10.1002/humu.23169. Epub 2017 Feb 14. No abstract available.

24.

A genome-wide screen of bacterial mutants that enhance dauer formation in C. elegans.

Khanna A, Kumar J, Vargas MA, Barrett L, Katewa S, Li P, McCloskey T, Sharma A, Naudé N, Nelson C, Brem R, Killilea DW, Mooney SD, Gill M, Kapahi P.

Sci Rep. 2016 Dec 13;6:38764. doi: 10.1038/srep38764.

25.

PRECISION MEDICINE: DATA AND DISCOVERY FOR IMPROVED HEALTH AND THERAPY.

Morgan AA, Crawford DC, Denny JC, Mooney SD, Aronow BJ, Brenner SE.

Pac Symp Biocomput. 2017;22:348-355. doi: 10.1142/9789813207813_0033.

26.

An expanded evaluation of protein function prediction methods shows an improvement in accuracy.

Jiang Y, Oron TR, Clark WT, Bankapur AR, D'Andrea D, Lepore R, Funk CS, Kahanda I, Verspoor KM, Ben-Hur A, Koo da CE, Penfold-Brown D, Shasha D, Youngs N, Bonneau R, Lin A, Sahraeian SM, Martelli PL, Profiti G, Casadio R, Cao R, Zhong Z, Cheng J, Altenhoff A, Skunca N, Dessimoz C, Dogan T, Hakala K, Kaewphan S, Mehryary F, Salakoski T, Ginter F, Fang H, Smithers B, Oates M, Gough J, Törönen P, Koskinen P, Holm L, Chen CT, Hsu WL, Bryson K, Cozzetto D, Minneci F, Jones DT, Chapman S, Bkc D, Khan IK, Kihara D, Ofer D, Rappoport N, Stern A, Cibrian-Uhalte E, Denny P, Foulger RE, Hieta R, Legge D, Lovering RC, Magrane M, Melidoni AN, Mutowo-Meullenet P, Pichler K, Shypitsyna A, Li B, Zakeri P, ElShal S, Tranchevent LC, Das S, Dawson NL, Lee D, Lees JG, Sillitoe I, Bhat P, Nepusz T, Romero AE, Sasidharan R, Yang H, Paccanaro A, Gillis J, Sedeño-Cortés AE, Pavlidis P, Feng S, Cejuela JM, Goldberg T, Hamp T, Richter L, Salamov A, Gabaldon T, Marcet-Houben M, Supek F, Gong Q, Ning W, Zhou Y, Tian W, Falda M, Fontana P, Lavezzo E, Toppo S, Ferrari C, Giollo M, Piovesan D, Tosatto SC, Del Pozo A, Fernández JM, Maietta P, Valencia A, Tress ML, Benso A, Di Carlo S, Politano G, Savino A, Rehman HU, Re M, Mesiti M, Valentini G, Bargsten JW, van Dijk AD, Gemovic B, Glisic S, Perovic V, Veljkovic V, Veljkovic N, Almeida-E-Silva DC, Vencio RZ, Sharan M, Vogel J, Kansakar L, Zhang S, Vucetic S, Wang Z, Sternberg MJ, Wass MN, Huntley RP, Martin MJ, O'Donovan C, Robinson PN, Moreau Y, Tramontano A, Babbitt PC, Brenner SE, Linial M, Orengo CA, Rost B, Greene CS, Mooney SD, Friedberg I, Radivojac P.

Genome Biol. 2016 Sep 7;17(1):184. doi: 10.1186/s13059-016-1037-6.

27.

The Loss and Gain of Functional Amino Acid Residues Is a Common Mechanism Causing Human Inherited Disease.

Lugo-Martinez J, Pejaver V, Pagel KA, Jain S, Mort M, Cooper DN, Mooney SD, Radivojac P.

PLoS Comput Biol. 2016 Aug 26;12(8):e1005091. doi: 10.1371/journal.pcbi.1005091. eCollection 2016 Aug.

28.

Regulatory Single-Nucleotide Variant Predictor Increases Predictive Performance of Functional Regulatory Variants.

Peterson TA, Mort M, Cooper DN, Radivojac P, Kann MG, Mooney SD.

Hum Mutat. 2016 Nov;37(11):1137-1143. doi: 10.1002/humu.23049. Epub 2016 Aug 31.

29.

High-performance web services for querying gene and variant annotation.

Xin J, Mark A, Afrasiabi C, Tsueng G, Juchler M, Gopal N, Stupp GS, Putman TE, Ainscough BJ, Griffith OL, Torkamani A, Whetzel PL, Mungall CJ, Mooney SD, Su AI, Wu C.

Genome Biol. 2016 May 6;17(1):91. doi: 10.1186/s13059-016-0953-9.

30.

CADD score has limited clinical validity for the identification of pathogenic variants in noncoding regions in a hereditary cancer panel.

Mather CA, Mooney SD, Salipante SJ, Scroggins S, Wu D, Pritchard CC, Shirts BH.

Genet Med. 2016 Dec;18(12):1269-1275. doi: 10.1038/gim.2016.44. Epub 2016 May 5.

31.

Clinical relevance of short-chain acyl-CoA dehydrogenase (SCAD) deficiency: Exploring the role of new variants including the first SCAD-disease-causing allele carrying a synonymous mutation.

Tonin R, Caciotti A, Funghini S, Pasquini E, Mooney SD, Cai B, Proncopio E, Donati MA, Baronio F, Bettocchi I, Cassio A, Biasucci G, Bordugo A, la Marca G, Guerrini R, Morrone A.

BBA Clin. 2016 Mar 10;5:114-9. doi: 10.1016/j.bbacli.2016.03.004. eCollection 2016 Jun.

32.

USE OF GENOME DATA IN NEWBORNS AS A STARTING POINT FOR LIFE-LONG PRECISION MEDICINE.

Brenner SE, Kingsmore S, Mooney SD, Nussbaum R, Puck J.

Pac Symp Biocomput. 2016;21:568-75.

33.

PRECISION MEDICINE: DATA AND DISCOVERY FOR IMPROVED HEALTH AND THERAPY.

Morgan AA, Mooney SD, Aronow BJ, Brenner SE.

Pac Symp Biocomput. 2016;21:243-8.

34.

Genomic Analysis Reveals Disruption of Striatal Neuronal Development and Therapeutic Targets in Human Huntington's Disease Neural Stem Cells.

Ring KL, An MC, Zhang N, O'Brien RN, Ramos EM, Gao F, Atwood R, Bailus BJ, Melov S, Mooney SD, Coppola G, Ellerby LM.

Stem Cell Reports. 2015 Dec 8;5(6):1023-1038. doi: 10.1016/j.stemcr.2015.11.005.

35.

Intrinsic Size Parameters for Palmitoylated and Carboxyamidomethylated Peptides.

Li Z, Dilger JM, Pejaver V, Smiley D, Arnold RJ, Mooney SD, Mukhopadhyay S, Radivojac P, Clemmer DE.

Int J Mass Spectrom. 2014 Jul 15;368:6-14.

36.

Ten simple rules for a community computational challenge.

Friedberg I, Wass MN, Mooney SD, Radivojac P.

PLoS Comput Biol. 2015 Apr 23;11(4):e1004150. doi: 10.1371/journal.pcbi.1004150. eCollection 2015 Apr. No abstract available.

37.

Biotinidase deficiency due to a de novo mutation or gonadal mosaicism in a first child.

Tonin R, Caciotti A, Funghini S, la Marca G, Pasquini E, Cayton E, Mooney SD, Guerrini R, Morrone A.

Clin Chim Acta. 2015 May 20;445:70-2. doi: 10.1016/j.cca.2015.03.010. Epub 2015 Mar 18.

PMID:
25795614
38.

Germline & somatic mosaicism: the 2014 annual scientific meeting of the Human Genome Variation Society.

Oetting WS, Greenblatt MS, Brookes AJ, Karchin R, Mooney SD.

Hum Mutat. 2015 Mar;36(3):390-3. doi: 10.1002/humu.22757. No abstract available.

PMID:
25597405
39.

Optimizing the molecular diagnosis of GALNS: novel methods to define and characterize Morquio-A syndrome-associated mutations.

Caciotti A, Tonin R, Rigoldi M, Ferri L, Catarzi S, Cavicchi C, Procopio E, Donati MA, Ficcadenti A, Fiumara A, Barone R, Garavelli L, Rocco MD, Filocamo M, Antuzzi D, Scarpa M, Mooney SD, Li B, Skouma A, Bianca S, Concolino D, Casalone R, Monti E, Pantaleo M, Giglio S, Guerrini R, Parini R, Morrone A.

Hum Mutat. 2015 Mar;36(3):357-68. doi: 10.1002/humu.22751.

PMID:
25545067
40.

Progress towards the integration of pharmacogenomics in practice.

Mooney SD.

Hum Genet. 2015 May;134(5):459-65. doi: 10.1007/s00439-014-1484-7. Epub 2014 Sep 11. Review.

41.

In silico comparative characterization of pharmacogenomic missense variants.

Li B, Seligman C, Thusberg J, Miller JL, Auer J, Whirl-Carrillo M, Capriotti E, Klein TE, Mooney SD.

BMC Genomics. 2014;15 Suppl 4:S4. doi: 10.1186/1471-2164-15-S4-S4. Epub 2014 May 20.

42.

The automated function prediction SIG looks back at 2013 and prepares for 2014.

Wass MN, Mooney SD, Linial M, Radivojac P, Friedberg I.

Bioinformatics. 2014 Jul 15;30(14):2091-2. doi: 10.1093/bioinformatics/btu117. Epub 2014 Mar 3. No abstract available.

43.

MutPred Splice: machine learning-based prediction of exonic variants that disrupt splicing.

Mort M, Sterne-Weiler T, Li B, Ball EV, Cooper DN, Radivojac P, Sanford JR, Mooney SD.

Genome Biol. 2014 Jan 13;15(1):R19. doi: 10.1186/gb-2014-15-1-r19.

44.

A large scale Huntingtin protein interaction network implicates Rho GTPase signaling pathways in Huntington disease.

Tourette C, Li B, Bell R, O'Hare S, Kaltenbach LS, Mooney SD, Hughes RE.

J Biol Chem. 2014 Mar 7;289(10):6709-26. doi: 10.1074/jbc.M113.523696. Epub 2014 Jan 9.

45.

Genome-wide DNA methylation changes with age in disease-free human skeletal muscle.

Zykovich A, Hubbard A, Flynn JM, Tarnopolsky M, Fraga MF, Kerksick C, Ogborn D, MacNeil L, Mooney SD, Melov S.

Aging Cell. 2014 Apr;13(2):360-6. doi: 10.1111/acel.12180. Epub 2013 Dec 2.

46.

Genome and proteome annotation using automatically recognized concepts and functional networks.

Bivol A, Wittkop T, Davis D, Mooney SD.

AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:26. eCollection 2013.

PMID:
24303290
47.

Medium-chain acyl-CoA deficiency: outlines from newborn screening, in silico predictions, and molecular studies.

Catarzi S, Caciotti A, Thusberg J, Tonin R, Malvagia S, la Marca G, Pasquini E, Cavicchi C, Ferri L, Donati MA, Baronio F, Guerrini R, Mooney SD, Morrone A.

ScientificWorldJournal. 2013 Oct 31;2013:625824. doi: 10.1155/2013/625824. eCollection 2013.

48.

Reply to Brook et al: No empirical evidence for human overkill of megafauna in Sahul.

Wroe S, Field JH, Archer M, Grayson DK, Price GJ, Louys J, Faith JT, Webb GE, Davidson I, Mooney SD.

Proc Natl Acad Sci U S A. 2013 Sep 3;110(36):E3369. No abstract available.

49.

Late-life rapamycin treatment reverses age-related heart dysfunction.

Flynn JM, O'Leary MN, Zambataro CA, Academia EC, Presley MP, Garrett BJ, Zykovich A, Mooney SD, Strong R, Rosen CJ, Kapahi P, Nelson MD, Kennedy BK, Melov S.

Aging Cell. 2013 Oct;12(5):851-62. doi: 10.1111/acel.12109. Epub 2013 Jul 7.

50.

Climate change frames debate over the extinction of megafauna in Sahul (Pleistocene Australia-New Guinea).

Wroe S, Field JH, Archer M, Grayson DK, Price GJ, Louys J, Faith JT, Webb GE, Davidson I, Mooney SD.

Proc Natl Acad Sci U S A. 2013 May 28;110(22):8777-81. doi: 10.1073/pnas.1302698110. Epub 2013 May 6.

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