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Items: 1 to 50 of 64

1.

Seasonal adaptations of the hypothalamo-neurohypophyseal system of the dromedary camel.

Alim FZD, Romanova EV, Tay YL, Rahman AYBA, Chan KG, Hong KW, Rogers M, Southey BR, Greenwood MP, Mecawi AS, Mustafa MR, Mahy N, Campbell C, Antunes-Rodrigues J, Sweedler JV, Murphy D, Hindmarch CCT.

PLoS One. 2019 Jun 18;14(6):e0216679. doi: 10.1371/journal.pone.0216679. eCollection 2019.

2.

Opioid-Induced Hyperalgesia Is Associated with Dysregulation of Circadian Rhythm and Adaptive Immune Pathways in the Mouse Trigeminal Ganglia and Nucleus Accumbens.

Zhang P, Moye LS, Southey BR, Dripps I, Sweedler JV, Pradhan A, Rodriguez-Zas SL.

Mol Neurobiol. 2019 May 25. doi: 10.1007/s12035-019-01650-5. [Epub ahead of print]

PMID:
31129808
3.

Gene Network Dysregulation in the Trigeminal Ganglia and Nucleus Accumbens of a Model of Chronic Migraine-Associated Hyperalgesia.

Jeong H, Moye LS, Southey BR, Hernandez AG, Dripps I, Romanova EV, Rubakhin SS, Sweedler JV, Pradhan AA, Rodriguez-Zas SL.

Front Syst Neurosci. 2018 Dec 18;12:63. doi: 10.3389/fnsys.2018.00063. eCollection 2018.

4.

Interplay Between Amphetamine and Activity Level in Gene Networks of the Mouse Striatum.

Goncalves TM, Southey BR, Rodriguez-Zas SL.

Bioinform Biol Insights. 2018 Dec 11;12:1177932218815152. doi: 10.1177/1177932218815152. eCollection 2018.

5.

Exploring Exercise- and Context-Induced Peptide Changes in Mice by Quantitative Mass Spectrometry.

Dowd SE, Mustroph ML, Romanova EV, Southey BR, Pinardo H, Rhodes JS, Sweedler JV.

ACS Omega. 2018 Oct 31;3(10):13817-13827. doi: 10.1021/acsomega.8b01713. Epub 2018 Oct 24.

6.

Brain region-dependent gene networks associated with selective breeding for increased voluntary wheel-running behavior.

Zhang P, Rhodes JS, Garland T Jr, Perez SD, Southey BR, Rodriguez-Zas SL.

PLoS One. 2018 Aug 2;13(8):e0201773. doi: 10.1371/journal.pone.0201773. eCollection 2018.

7.

Disruption of microglia histone acetylation and protein pathways in mice exhibiting inflammation-associated depression-like symptoms.

Rodriguez-Zas SL, Wu C, Southey BR, O'Connor JC, Nixon SE, Garcia R, Zavala C, Lawson M, McCusker RH, Romanova EV, Sweedler JV, Kelley KW, Dantzer R.

Psychoneuroendocrinology. 2018 Nov;97:47-58. doi: 10.1016/j.psyneuen.2018.06.024. Epub 2018 Jun 30.

PMID:
30005281
8.

Exploring the Sea Urchin Neuropeptide Landscape by Mass Spectrometry.

Monroe EB, Annangudi SP, Wadhams AA, Richmond TA, Yang N, Southey BR, Romanova EV, Schoofs L, Baggerman G, Sweedler JV.

J Am Soc Mass Spectrom. 2018 May;29(5):923-934. doi: 10.1007/s13361-018-1898-x. Epub 2018 Apr 17.

9.

Peptide identifications and false discovery rates using different mass spectrometry platforms.

Anapindi KDB, Romanova EV, Southey BR, Sweedler JV.

Talanta. 2018 May 15;182:456-463. doi: 10.1016/j.talanta.2018.01.062. Epub 2018 Jan 31.

10.

Bioinformatics for Prohormone and Neuropeptide Discovery.

Southey BR, Romanova EV, Rodriguez-Zas SL, Sweedler JV.

Methods Mol Biol. 2018;1719:71-96. doi: 10.1007/978-1-4939-7537-2_5.

11.

Cerebellum Transcriptome of Mice Bred for High Voluntary Activity Offers Insights into Locomotor Control and Reward-Dependent Behaviors.

Caetano-Anollés K, Rhodes JS, Garland T Jr, Perez SD, Hernandez AG, Southey BR, Rodriguez-Zas SL.

PLoS One. 2016 Nov 28;11(11):e0167095. doi: 10.1371/journal.pone.0167095. eCollection 2016.

12.

Identification of prohormones and pituitary neuropeptides in the African cichlid, Astatotilapia burtoni.

Hu CK, Southey BR, Romanova EV, Maruska KP, Sweedler JV, Fernald RD.

BMC Genomics. 2016 Aug 19;17(1):660. doi: 10.1186/s12864-016-2914-9.

13.

Differential Transcriptome Networks between IDO1-Knockout and Wild-Type Mice in Brain Microglia and Macrophages.

Gonzalez-Pena D, Nixon SE, Southey BR, Lawson MA, McCusker RH, Hernandez AG, Dantzer R, Kelley KW, Rodriguez-Zas SL.

PLoS One. 2016 Jun 17;11(6):e0157727. doi: 10.1371/journal.pone.0157727. eCollection 2016.

14.

Microglia Transcriptome Changes in a Model of Depressive Behavior after Immune Challenge.

Gonzalez-Pena D, Nixon SE, O'Connor JC, Southey BR, Lawson MA, McCusker RH, Borras T, Machuca D, Hernandez AG, Dantzer R, Kelley KW, Rodriguez-Zas SL.

PLoS One. 2016 Mar 9;11(3):e0150858. doi: 10.1371/journal.pone.0150858. eCollection 2016.

15.

Characterization of Genomic Variants Associated with Scout and Recruit Behavioral Castes in Honey Bees Using Whole-Genome Sequencing.

Southey BR, Zhu P, Carr-Markell MK, Liang ZS, Zayed A, Li R, Robinson GE, Rodriguez-Zas SL.

PLoS One. 2016 Jan 19;11(1):e0146430. doi: 10.1371/journal.pone.0146430. eCollection 2016.

16.

Social evolution. Genomic signatures of evolutionary transitions from solitary to group living.

Kapheim KM, Pan H, Li C, Salzberg SL, Puiu D, Magoc T, Robertson HM, Hudson ME, Venkat A, Fischman BJ, Hernandez A, Yandell M, Ence D, Holt C, Yocum GD, Kemp WP, Bosch J, Waterhouse RM, Zdobnov EM, Stolle E, Kraus FB, Helbing S, Moritz RF, Glastad KM, Hunt BG, Goodisman MA, Hauser F, Grimmelikhuijzen CJ, Pinheiro DG, Nunes FM, Soares MP, Tanaka ÉD, Simões ZL, Hartfelder K, Evans JD, Barribeau SM, Johnson RM, Massey JH, Southey BR, Hasselmann M, Hamacher D, Biewer M, Kent CF, Zayed A, Blatti C 3rd, Sinha S, Johnston JS, Hanrahan SJ, Kocher SD, Wang J, Robinson GE, Zhang G.

Science. 2015 Jun 5;348(6239):1139-43. doi: 10.1126/science.aaa4788. Epub 2015 May 14.

17.

Identification of best indicators of peptide-spectrum match using a permutation resampling approach.

Akhtar MN, Southey BR, Andrén PE, Sweedler JV, Rodriguez-Zas SL.

J Bioinform Comput Biol. 2014 Oct;12(5):1440001. doi: 10.1142/S0219720014400010.

18.

Comparative brain transcriptomic analyses of scouting across distinct behavioural and ecological contexts in honeybees.

Liang ZS, Mattila HR, Rodriguez-Zas SL, Southey BR, Seeley TD, Robinson GE.

Proc Biol Sci. 2014 Dec 22;281(1797). pii: 20141868. doi: 10.1098/rspb.2014.1868.

19.

Accurate assignment of significance to neuropeptide identifications using Monte Carlo k-permuted decoy databases.

Akhtar MN, Southey BR, Andrén PE, Sweedler JV, Rodriguez-Zas SL.

PLoS One. 2014 Oct 17;9(10):e111112. doi: 10.1371/journal.pone.0111112. eCollection 2014.

20.

Advancing the understanding of behaviors associated with Bacille Calmette Guérin infection using multivariate analysis.

Rodriguez-Zas SL, Nixon SE, Lawson MA, Mccusker RH, Southey BR, O'Connor JC, Dantzer R, Kelley KW.

Brain Behav Immun. 2015 Feb;44:176-86. doi: 10.1016/j.bbi.2014.09.018. Epub 2014 Oct 7.

21.

Comparing label-free quantitative peptidomics approaches to characterize diurnal variation of peptides in the rat suprachiasmatic nucleus.

Southey BR, Lee JE, Zamdborg L, Atkins N Jr, Mitchell JW, Li M, Gillette MU, Kelleher NL, Sweedler JV.

Anal Chem. 2014 Jan 7;86(1):443-52. doi: 10.1021/ac4023378. Epub 2013 Dec 16.

22.

Bivariate genome-wide association analysis of the growth and intake components of feed efficiency.

Serão NV, González-Peña D, Beever JE, Bollero GA, Southey BR, Faulkner DB, Rodriguez-Zas SL.

PLoS One. 2013 Oct 29;8(10):e78530. doi: 10.1371/journal.pone.0078530. eCollection 2013.

23.

Single nucleotide polymorphisms and haplotypes associated with feed efficiency in beef cattle.

Serão NV, González-Peña D, Beever JE, Faulkner DB, Southey BR, Rodriguez-Zas SL.

BMC Genet. 2013 Sep 25;14:94. doi: 10.1186/1471-2156-14-94.

24.

Multifactorial Understanding of Ion Abundance in Tandem Mass Spectrometry Experiments.

Fazal Z, Southey BR, Sweedler JV, Rodriguez-Zas SL.

J Proteomics Bioinform. 2013 Jan 29;6(2):23-29.

25.

Quantitative peptidomics for discovery of circadian-related peptides from the rat suprachiasmatic nucleus.

Lee JE, Zamdborg L, Southey BR, Atkins N Jr, Mitchell JW, Li M, Gillette MU, Kelleher NL, Sweedler JV.

J Proteome Res. 2013 Feb 1;12(2):585-93. doi: 10.1021/pr300605p. Epub 2013 Jan 11.

26.

Identification and characterization of alternative exon usage linked glioblastoma multiforme survival.

Sadeque A, Serão NV, Southey BR, Delfino KR, Rodriguez-Zas SL.

BMC Med Genomics. 2012 Dec 4;5:59. doi: 10.1186/1755-8794-5-59.

27.

First survey and functional annotation of prohormone and convertase genes in the pig.

Porter KI, Southey BR, Sweedler JV, Rodriguez-Zas SL.

BMC Genomics. 2012 Nov 15;13:582. doi: 10.1186/1471-2164-13-582.

28.

Analyses of pig genomes provide insight into porcine demography and evolution.

Groenen MA, Archibald AL, Uenishi H, Tuggle CK, Takeuchi Y, Rothschild MF, Rogel-Gaillard C, Park C, Milan D, Megens HJ, Li S, Larkin DM, Kim H, Frantz LA, Caccamo M, Ahn H, Aken BL, Anselmo A, Anthon C, Auvil L, Badaoui B, Beattie CW, Bendixen C, Berman D, Blecha F, Blomberg J, Bolund L, Bosse M, Botti S, Bujie Z, Bystrom M, Capitanu B, Carvalho-Silva D, Chardon P, Chen C, Cheng R, Choi SH, Chow W, Clark RC, Clee C, Crooijmans RP, Dawson HD, Dehais P, De Sapio F, Dibbits B, Drou N, Du ZQ, Eversole K, Fadista J, Fairley S, Faraut T, Faulkner GJ, Fowler KE, Fredholm M, Fritz E, Gilbert JG, Giuffra E, Gorodkin J, Griffin DK, Harrow JL, Hayward A, Howe K, Hu ZL, Humphray SJ, Hunt T, Hornshøj H, Jeon JT, Jern P, Jones M, Jurka J, Kanamori H, Kapetanovic R, Kim J, Kim JH, Kim KW, Kim TH, Larson G, Lee K, Lee KT, Leggett R, Lewin HA, Li Y, Liu W, Loveland JE, Lu Y, Lunney JK, Ma J, Madsen O, Mann K, Matthews L, McLaren S, Morozumi T, Murtaugh MP, Narayan J, Nguyen DT, Ni P, Oh SJ, Onteru S, Panitz F, Park EW, Park HS, Pascal G, Paudel Y, Perez-Enciso M, Ramirez-Gonzalez R, Reecy JM, Rodriguez-Zas S, Rohrer GA, Rund L, Sang Y, Schachtschneider K, Schraiber JG, Schwartz J, Scobie L, Scott C, Searle S, Servin B, Southey BR, Sperber G, Stadler P, Sweedler JV, Tafer H, Thomsen B, Wali R, Wang J, Wang J, White S, Xu X, Yerle M, Zhang G, Zhang J, Zhang J, Zhao S, Rogers J, Churcher C, Schook LB.

Nature. 2012 Nov 15;491(7424):393-8. doi: 10.1038/nature11622.

29.

Evaluation of database search programs for accurate detection of neuropeptides in tandem mass spectrometry experiments.

Akhtar MN, Southey BR, Andrén PE, Sweedler JV, Rodriguez-Zas SL.

J Proteome Res. 2012 Dec 7;11(12):6044-55. doi: 10.1021/pr3007123. Epub 2012 Nov 6.

30.

Microarray analysis of natural socially regulated plasticity in circadian rhythms of honey bees.

Rodriguez-Zas SL, Southey BR, Shemesh Y, Rubin EB, Cohen M, Robinson GE, Bloch G.

J Biol Rhythms. 2012 Feb;27(1):12-24. doi: 10.1177/0748730411431404.

31.

Probing the production of amidated peptides following genetic and dietary copper manipulations.

Yin P, Bousquet-Moore D, Annangudi SP, Southey BR, Mains RE, Eipper BA, Sweedler JV.

PLoS One. 2011;6(12):e28679. doi: 10.1371/journal.pone.0028679. Epub 2011 Dec 16.

32.

Voluntary wheel running reverses age-induced changes in hippocampal gene expression.

Kohman RA, Rodriguez-Zas SL, Southey BR, Kelley KW, Dantzer R, Rhodes JS.

PLoS One. 2011;6(8):e22654. doi: 10.1371/journal.pone.0022654. Epub 2011 Aug 8.

33.

Therapy-, gender- and race-specific microRNA markers, target genes and networks related to glioblastoma recurrence and survival.

Delfino KR, Serão NV, Southey BR, Rodriguez-Zas SL.

Cancer Genomics Proteomics. 2011 Jul-Aug;8(4):173-83.

34.

Cell cycle and aging, morphogenesis, and response to stimuli genes are individualized biomarkers of glioblastoma progression and survival.

Serão NV, Delfino KR, Southey BR, Beever JE, Rodriguez-Zas SL.

BMC Med Genomics. 2011 Jun 7;4:49. doi: 10.1186/1755-8794-4-49.

35.

Neurogenomic signatures of spatiotemporal memories in time-trained forager honey bees.

Naeger NL, Van Nest BN, Johnson JN, Boyd SD, Southey BR, Rodriguez-Zas SL, Moore D, Robinson GE.

J Exp Biol. 2011 Mar 15;214(Pt 6):979-87. doi: 10.1242/jeb.053421.

36.

Transferase activity function and system development process are critical in cattle embryo development.

Adams HA, Southey BR, Everts RE, Marjani SL, Tian CX, Lewin HA, Rodriguez-Zas SL.

Funct Integr Genomics. 2011 Mar;11(1):139-50. doi: 10.1007/s10142-010-0189-9. Epub 2010 Sep 16.

37.

The zebra finch neuropeptidome: prediction, detection and expression.

Xie F, London SE, Southey BR, Annangudi SP, Amare A, Rodriguez-Zas SL, Clayton DF, Sweedler JV.

BMC Biol. 2010 Apr 1;8:28. doi: 10.1186/1741-7007-8-28.

38.

Genome-wide census and expression profiling of chicken neuropeptide and prohormone convertase genes.

Delfino KR, Southey BR, Sweedler JV, Rodriguez-Zas SL.

Neuropeptides. 2010 Feb;44(1):31-44. doi: 10.1016/j.npep.2009.11.002. Epub 2009 Dec 14.

39.

Honey bee aggression supports a link between gene regulation and behavioral evolution.

Alaux C, Sinha S, Hasadsri L, Hunt GJ, Guzmán-Novoa E, DeGrandi-Hoffman G, Uribe-Rubio JL, Southey BR, Rodriguez-Zas S, Robinson GE.

Proc Natl Acad Sci U S A. 2009 Sep 8;106(36):15400-5. doi: 10.1073/pnas.0907043106. Epub 2009 Aug 21.

40.

Modulatory communication signal performance is associated with a distinct neurogenomic state in honey bees.

Alaux C, Duong N, Schneider SS, Southey BR, Rodriguez-Zas S, Robinson GE.

PLoS One. 2009 Aug 20;4(8):e6694. doi: 10.1371/journal.pone.0006694.

41.

Discrete molecular states in the brain accompany changing responses to a vocal signal.

Dong S, Replogle KL, Hasadsri L, Imai BS, Yau PM, Rodriguez-Zas S, Southey BR, Sweedler JV, Clayton DF.

Proc Natl Acad Sci U S A. 2009 Jul 7;106(27):11364-9. doi: 10.1073/pnas.0812998106. Epub 2009 Jun 18.

42.

Characterization of the prohormone complement in cattle using genomic libraries and cleavage prediction approaches.

Southey BR, Rodriguez-Zas SL, Sweedler JV.

BMC Genomics. 2009 May 16;10:228. doi: 10.1186/1471-2164-10-228.

43.

The genome sequence of taurine cattle: a window to ruminant biology and evolution.

Bovine Genome Sequencing and Analysis Consortium, Elsik CG, Tellam RL, Worley KC, Gibbs RA, Muzny DM, Weinstock GM, Adelson DL, Eichler EE, Elnitski L, Guigó R, Hamernik DL, Kappes SM, Lewin HA, Lynn DJ, Nicholas FW, Reymond A, Rijnkels M, Skow LC, Zdobnov EM, Schook L, Womack J, Alioto T, Antonarakis SE, Astashyn A, Chapple CE, Chen HC, Chrast J, Câmara F, Ermolaeva O, Henrichsen CN, Hlavina W, Kapustin Y, Kiryutin B, Kitts P, Kokocinski F, Landrum M, Maglott D, Pruitt K, Sapojnikov V, Searle SM, Solovyev V, Souvorov A, Ucla C, Wyss C, Anzola JM, Gerlach D, Elhaik E, Graur D, Reese JT, Edgar RC, McEwan JC, Payne GM, Raison JM, Junier T, Kriventseva EV, Eyras E, Plass M, Donthu R, Larkin DM, Reecy J, Yang MQ, Chen L, Cheng Z, Chitko-McKown CG, Liu GE, Matukumalli LK, Song J, Zhu B, Bradley DG, Brinkman FS, Lau LP, Whiteside MD, Walker A, Wheeler TT, Casey T, German JB, Lemay DG, Maqbool NJ, Molenaar AJ, Seo S, Stothard P, Baldwin CL, Baxter R, Brinkmeyer-Langford CL, Brown WC, Childers CP, Connelley T, Ellis SA, Fritz K, Glass EJ, Herzig CT, Iivanainen A, Lahmers KK, Bennett AK, Dickens CM, Gilbert JG, Hagen DE, Salih H, Aerts J, Caetano AR, Dalrymple B, Garcia JF, Gill CA, Hiendleder SG, Memili E, Spurlock D, Williams JL, Alexander L, Brownstein MJ, Guan L, Holt RA, Jones SJ, Marra MA, Moore R, Moore SS, Roberts A, Taniguchi M, Waterman RC, Chacko J, Chandrabose MM, Cree A, Dao MD, Dinh HH, Gabisi RA, Hines S, Hume J, Jhangiani SN, Joshi V, Kovar CL, Lewis LR, Liu YS, Lopez J, Morgan MB, Nguyen NB, Okwuonu GO, Ruiz SJ, Santibanez J, Wright RA, Buhay C, Ding Y, Dugan-Rocha S, Herdandez J, Holder M, Sabo A, Egan A, Goodell J, Wilczek-Boney K, Fowler GR, Hitchens ME, Lozado RJ, Moen C, Steffen D, Warren JT, Zhang J, Chiu R, Schein JE, Durbin KJ, Havlak P, Jiang H, Liu Y, Qin X, Ren Y, Shen Y, Song H, Bell SN, Davis C, Johnson AJ, Lee S, Nazareth LV, Patel BM, Pu LL, Vattathil S, Williams RL Jr, Curry S, Hamilton C, Sodergren E, Wheeler DA, Barris W, Bennett GL, Eggen A, Green RD, Harhay GP, Hobbs M, Jann O, Keele JW, Kent MP, Lien S, McKay SD, McWilliam S, Ratnakumar A, Schnabel RD, Smith T, Snelling WM, Sonstegard TS, Stone RT, Sugimoto Y, Takasuga A, Taylor JF, Van Tassell CP, Macneil MD, Abatepaulo AR, Abbey CA, Ahola V, Almeida IG, Amadio AF, Anatriello E, Bahadue SM, Biase FH, Boldt CR, Carroll JA, Carvalho WA, Cervelatti EP, Chacko E, Chapin JE, Cheng Y, Choi J, Colley AJ, de Campos TA, De Donato M, Santos IK, de Oliveira CJ, Deobald H, Devinoy E, Donohue KE, Dovc P, Eberlein A, Fitzsimmons CJ, Franzin AM, Garcia GR, Genini S, Gladney CJ, Grant JR, Greaser ML, Green JA, Hadsell DL, Hakimov HA, Halgren R, Harrow JL, Hart EA, Hastings N, Hernandez M, Hu ZL, Ingham A, Iso-Touru T, Jamis C, Jensen K, Kapetis D, Kerr T, Khalil SS, Khatib H, Kolbehdari D, Kumar CG, Kumar D, Leach R, Lee JC, Li C, Logan KM, Malinverni R, Marques E, Martin WF, Martins NF, Maruyama SR, Mazza R, McLean KL, Medrano JF, Moreno BT, Moré DD, Muntean CT, Nandakumar HP, Nogueira MF, Olsaker I, Pant SD, Panzitta F, Pastor RC, Poli MA, Poslusny N, Rachagani S, Ranganathan S, Razpet A, Riggs PK, Rincon G, Rodriguez-Osorio N, Rodriguez-Zas SL, Romero NE, Rosenwald A, Sando L, Schmutz SM, Shen L, Sherman L, Southey BR, Lutzow YS, Sweedler JV, Tammen I, Telugu BP, Urbanski JM, Utsunomiya YT, Verschoor CP, Waardenberg AJ, Wang Z, Ward R, Weikard R, Welsh TH Jr, White SN, Wilming LG, Wunderlich KR, Yang J, Zhao FQ.

Science. 2009 Apr 24;324(5926):522-8. doi: 10.1126/science.1169588.

44.

Quantitative peptidomics reveal brain peptide signatures of behavior.

Brockmann A, Annangudi SP, Richmond TA, Ament SA, Xie F, Southey BR, Rodriguez-Zas SR, Robinson GE, Sweedler JV.

Proc Natl Acad Sci U S A. 2009 Feb 17;106(7):2383-8. doi: 10.1073/pnas.0813021106. Epub 2009 Jan 28.

45.

A python analytical pipeline to identify prohormone precursors and predict prohormone cleavage sites.

Southey BR, Sweedler JV, Rodriguez-Zas SL.

Front Neuroinform. 2008 Dec 16;2:7. doi: 10.3389/neuro.11.007.2008. eCollection 2008.

46.

Meta-analysis of genome-wide expression patterns associated with behavioral maturation in honey bees.

Adams HA, Southey BR, Robinson GE, Rodriguez-Zas SL.

BMC Genomics. 2008 Oct 24;9:503. doi: 10.1186/1471-2164-9-503.

47.

Prediction of neuropeptide cleavage sites in insects.

Southey BR, Sweedler JV, Rodriguez-Zas SL.

Bioinformatics. 2008 Mar 15;24(6):815-25. doi: 10.1093/bioinformatics/btn044. Epub 2008 Feb 5.

PMID:
18252740
48.

Advancing the understanding of the embryo transcriptome co-regulation using meta-, functional, and gene network analysis tools.

Rodriguez-Zas SL, Ko Y, Adams HA, Southey BR.

Reproduction. 2008 Feb;135(2):213-24. doi: 10.1530/REP-07-0391.

PMID:
18239050
49.

Comparative analysis of neuropeptide cleavage sites in human, mouse, rat, and cattle.

Tegge AN, Southey BR, Sweedler JV, Rodriguez-Zas SL.

Mamm Genome. 2008 Feb;19(2):106-20. doi: 10.1007/s00335-007-9090-9. Epub 2008 Jan 23.

PMID:
18213482
50.

Semiparametric approach to characterize unique gene expression trajectories across time.

Rodriguez-Zas SL, Southey BR, Whitfield CW, Robinson GE.

BMC Genomics. 2006 Sep 13;7:233.

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