Katie Pollard and her team develop statistical and computational methods to compare genomes and use the differences to decode how genomes work. Their analyses of massive sets of genomic and epigenomic data include investigating human genetic variation, understanding what makes humans unique compared to other species, and characterizing the genomic diversity of the human microbiome, the group of bacteria that populate our digestive system and other body sites. This evolutionary focus, coupled with rigorous statistical methods and bioinformatics tool development, gives the lab a unique perspective on human health and disease.
Disease Areas
Congenital Heart Defects
Genetic Diseases
Infectious Diseases
Inflammatory Bowel Disease and Other Microbiome-Related Diseases
Neurodegenerative Diseases
Psychiatric Diseases
Areas of Expertise
Bioinformatics
Data Science
Developmental Biology
Epigenetics
Genome Evolution
Genomics
Machine Learning
Microbiome
Statistics
Technology Development
Lab Focus
Creating tools for genomic data analysis that combine statistical rigor, an evolutionary perspective, and massive integration of public data.
Using predictive computational models to gain a mechanistic understanding of human biology.
Identifying the genetic basis for human traits and diseases.
Characterizing the human microbiome through metagenomic data analysis.
Designing biomedical research technologies to optimize what we can learn from them.
Science communication and education.
Research Impact
Pollard and her team pioneered a statistical approach to identify the fastest-evolving regions of the human genome, known as Human Accelerated Regions (HARs). They showed that many of these correspond to non-coding sequences regulating gene expression, also known as enhancers. Her lab is leveraging this information to identify enhancers important for evolution or for the appearance of diseases. These studies have generated research tools for studying human disease and will eventually yield novel therapeutic targets.
Pollard has also designed metagenomic-based methods to study the human microbiome and other microbial communities at the resolution of individual genes and genetic mutations. From these studies, novel insight will arise into the relationship of the microbiome to health and disease, setting the stage for using metagenomics in precision medicine.
The Pollard lab’s open-source code for gene expression analysis, detecting evolutionary conservation and acceleration, and quantifying genetic changes in the human microbiome is used in thousands of labs and classrooms.
Related News
Professional Titles
Director, Gladstone Institute of Data Science and Biotechnology
Professor of Epidemiology and Biostatistics, UC San Francisco
Director, Biomedical Informatics Graduate Program, UC San Francisco
Investigator, Chan Zuckerberg Biohub
Bio
Katie Pollard earned her BA at Pomona College and her master’s degree and PhD in biostatistics from UC Berkeley. At Berkeley, she developed computationally intensive statistical methods for the analysis of microarray data with applications in cancer biology. She implemented these approaches in Bioconductor, an open-source software program used with high-throughput genomic data. As a comparative genomics postdoctoral fellow at UC Santa Cruz, Pollard participated in the Chimpanzee Genome Project and used this sequence to identify the fastest-evolving regions in the human genome, known as Human Accelerated Regions.
Before joining Gladstone, Pollard was an assistant professor in the Genome Center and Department of Statistics at UC Davis. She was awarded the Thomas J. Watson Fellowship in 1995 and the Sloan Research Fellowship in 2008. Pollard is a fellow of the California Academy of Sciences and a Chan Zuckerberg Biohub Investigator. In 2018, she became the founding director of the Gladstone Institute of Biotechnology and Data Science. Pollard is a member of the American Society of Human Genetics, the American Statistical Association, and the International Society for Computational Biology.
Why Gladstone?
“We are excited about bringing computational biology to Gladstone and incorporating world-class experimental biology into our research program.”
Katie Pollard, PhD
Honors and Awards
2018 Named one of the UC Berkeley School of Public Health’s 75 Most Influential Alumni
2018 Women Who Lead in the Life Sciences, SF Business Times
2017 Chan-Zuckerberg Biohub Investigator
2013 Fellow, California Academy of Sciences
2013 Alumna of the Year, School of Public Health, UC Berkeley
2013 Best Scientific Visualizations of 2013, Wired Magazine
2008 Sloan Research Fellowship, Alfred P. Sloan Foundation
2007 Faculty Development Award, UC Davis
2003 Evelyn Fix Memorial Prize, Chin Long Chiang Biostatistics Student of the Year, UC Berkeley
1998 Berkeley Fellowship, UC Berkeley
1996 Thomas J. Watson Fellowship, Watson Foundation
1995 Valedictorian, High Scholarship Prize, Math Prize, Anthropology Prize, Phi Beta Kappa Award, Pomona College
1993 Sophomore Math Prize, Pomona College
Publications
- Disruptions in a cluster of computationally identified enhancers near FOXC1 and GMDS may influence brain development. Haliburton GD, McKinsey GL, Pollard KS. Neurogenetics. 2016 Jan; 17(1):1-9.
- Genomic approaches to studying human-specific developmental traits. Franchini LF, Pollard KS. Development. 2015 Sep 15; 142(18):3100-12.
- Can a few non-coding mutations make a human brain? Franchini LF, Pollard KS. Bioessays. 2015 Oct; 37(10):1054-61.
- Coevolutionary analyses require phylogenetically deep alignments and better null models to accurately detect inter-protein contacts within and between species. Avila-Herrera A, Pollard KS. BMC Bioinformatics. 2015 Aug 25; 16:268.
- MetaQuery: a web server for rapid annotation and quantitative analysis of specific genes in the human gut microbiome. Nayfach S, Fischbach MA, Pollard KS. Bioinformatics. 2015 Oct 15; 31(20):3368-70.
- Marked seasonal variation in the wild mouse gut microbiota. Maurice CF, Knowles SC, Ladau J, Pollard KS, Fenton A, Pedersen AB, Turnbaugh PJ. ISME J. 2015 Nov; 9(11):2423-34.
- Signatures of accelerated somatic evolution in gene promoters in multiple cancer types. Smith KS, Yadav VK, Pedersen BS, Shaknovich R, Geraci MW, Pollard KS, De S. Nucleic Acids Res. 2015 Jun 23; 43(11):5307-17.
- Continental-scale distributions of dust-associated bacteria and fungi. Barberán A, Ladau J, Leff JW, Pollard KS, Menninger HL, Dunn RR, Fierer N. Proc Natl Acad Sci U S A. 2015 May 05; 112(18):5756-61.
- Average genome size estimation improves comparative metagenomics and sheds light on the functional ecology of the human microbiome. Nayfach S, Pollard KS. Genome Biol. 2015 Mar 25; 16:51.
- Human disease modeling reveals integrated transcriptional and epigenetic mechanisms of NOTCH1 haploinsufficiency. Theodoris CV, Li M, White MP, Liu L, He D, Pollard KS, Bruneau BG, Srivastava D. Cell. 2015 Mar 12; 160(6):1072-86.
- Evolution of lysine acetylation in the RNA polymerase II C-terminal domain. Simonti CN, Pollard KS, Schröder S, He D, Bruneau BG, Ott M, Capra JA. BMC Evol Biol. 2015 Mar 10; 15:35.
- Genomic and network patterns of schizophrenia genetic variation in human evolutionary accelerated regions. Xu K, Schadt EE, Pollard KS, Roussos P, Dudley JT. Mol Biol Evol. 2015 May; 32(5):1148-60.
- Gibbon genome and the fast karyotype evolution of small apes. Carbone L, Harris RA, Gnerre S, Veeramah KR, Lorente-Galdos B, Huddleston J, Meyer TJ, Herrero J, Roos C, Aken B, Anaclerio F, Archidiacono N, Baker C, Barrell D, Batzer MA, Beal K, Blancher A, Bohrson CL, Brameier M, Campbell MS, Capozzi O, Casola C, Chiatante G, Cree A, Damert A, de Jong PJ, Dumas L, Fernandez-Callejo M, Flicek P, Fuchs NV, Gut I, Gut M, Hahn MW, Hernandez-Rodriguez J, Hillier LW, Hubley R, Ianc B, Izsvák Z, Jablonski NG, Johnstone LM, Karimpour-Fard A, Konkel MK, Kostka D, Lazar NH, Lee SL, Lewis LR, Liu Y, Locke DP, Mallick S, Mendez FL, Muffato M, Nazareth LV, Nevonen KA, O'Bleness M, Ochis C, Odom DT, Pollard KS, Quilez J, Reich D, Rocchi M, Schumann GG, Searle S, Sikela JM, Skollar G, Smit A, Sonmez K, ten Hallers B, Terhune E, Thomas GW, Ullmer B, Ventura M, Walker JA, Wall JD, Walter L, Ward MC, Wheelan SJ, Whelan CW, White S, Wilhelm LJ, Woerner AE, Yandell M, Zhu B, Hammer MF, Marques-Bonet T, Eichler EE, Fulton L, Fronick C, Muzny DM, Warren WC, Worley KC, Rogers J, Wilson RK, Gibbs RA. Nature. 2014 Sep 11; 513(7517):195-201.
- Genome-wide distribution of Auts2 binding localizes with active neurodevelopmental genes. Oksenberg N, Haliburton GD, Eckalbar WL, Oren I, Nishizaki S, Murphy K, Pollard KS, Birnbaum RY, Ahituv N. Transl Psychiatry. 2014 Sep 02; 4:e431.
- Exploring the genesis and functions of Human Accelerated Regions sheds light on their role in human evolution. Hubisz MJ, Pollard KS. Curr Opin Genet Dev. 2014 Dec; 29:15-21.
- Profile hidden Markov models for the detection of viruses within metagenomic sequence data. Skewes-Cox P, Sharpton TJ, Pollard KS, DeRisi JL. PLoS One. 2014; 9(8):e105067.
- Integrating diverse datasets improves developmental enhancer prediction. Erwin GD, Oksenberg N, Truty RM, Kostka D, Murphy KK, Ahituv N, Pollard KS, Capra JA. PLoS Comput Biol. 2014 Jun; 10(6):e1003677.
- Liquefaction of semen generates and later degrades a conserved semenogelin peptide that enhances HIV infection. Roan NR, Liu H, Usmani SM, Neidleman J, Müller JA, Avila-Herrera A, Gawanbacht A, Zirafi O, Chu S, Dong M, Kumar ST, Smith JF, Pollard KS, Fändrich M, Kirchhoff F, Münch J, Witkowska HE, Greene WC. J Virol. 2014 Jul; 88(13):7221-34.
- Exome capture from saliva produces high quality genomic and metagenomic data. Kidd JM, Sharpton TJ, Bobo D, Norman PJ, Martin AR, Carpenter ML, Sikora M, Gignoux CR, Nemat-Gorgani N, Adams A, Guadalupe M, Guo X, Feng Q, Li Y, Liu X, Parham P, Hoal EG, Feldman MW, Pollard KS, Wall JD, Bustamante CD, Henn BM. BMC Genomics. 2014 Apr 04; 15:262.
- A taxonomic signature of obesity in the microbiome? Getting to the guts of the matter. Finucane MM, Sharpton TJ, Laurent TJ, Pollard KS. PLoS One. 2014; 9(1):e84689.
- Many human accelerated regions are developmental enhancers. Capra JA, Erwin GD, McKinsey G, Rubenstein JL, Pollard KS. Philos Trans R Soc Lond B Biol Sci. 2013 Dec 19; 368(1632):20130025.
- Acetylation of RNA polymerase II regulates growth-factor-induced gene transcription in mammalian cells. Schröder S, Herker E, Itzen F, He D, Thomas S, Gilchrist DA, Kaehlcke K, Cho S, Pollard KS, Capra JA, Schnölzer M, Cole PA, Geyer M, Bruneau BG, Adelman K, Ott M. Mol Cell. 2013 Nov 07; 52(3):314-24.
- Reconstructing the microbial diversity and function of pre-agricultural tallgrass prairie soils in the United States. Fierer N, Ladau J, Clemente JC, Leff JW, Owens SM, Pollard KS, Knight R, Gilbert JA, McCulley RL. Science. 2013 Nov 01; 342(6158):621-4.
- From genes to milk: genomic organization and epigenetic regulation of the mammary transcriptome. Lemay DG, Pollard KS, Martin WF, Freeman Zadrowski C, Hernandez J, Korf I, German JB, Rijnkels M. PLoS One. 2013; 8(9):e75030.
- A model-based analysis of GC-biased gene conversion in the human and chimpanzee genomes. Capra JA, Hubisz MJ, Kostka D, Pollard KS, Siepel A. PLoS Genet. 2013; 9(8):e1003684.
- How old is my gene? Capra JA, Stolzer M, Durand D, Pollard KS. Trends Genet. 2013 Nov; 29(11):659-68.
- A compact, in vivo screen of all 6-mers reveals drivers of tissue-specific expression and guides synthetic regulatory element design. Smith RP, Riesenfeld SJ, Holloway AK, Li Q, Murphy KK, Feliciano NM, Orecchia L, Oksenberg N, Pollard KS, Ahituv N. Genome Biol. 2013 Jul 18; 14(7):R72.
- Beyond classification: gene-family phylogenies from shotgun metagenomic reads enable accurate community analysis. Riesenfeld SJ, Pollard KS. BMC Genomics. 2013 Jun 22; 14:419.
- Global marine bacterial diversity peaks at high latitudes in winter. Ladau J, Sharpton TJ, Finucane MM, Jospin G, Kembel SW, O'Dwyer J, Koeppel AF, Green JL, Pollard KS. ISME J. 2013 Sep; 7(9):1669-77.
- Sifting through genomes with iterative-sequence clustering produces a large, phylogenetically diverse protein-family resource. Sharpton TJ, Jospin G, Wu D, Langille MG, Pollard KS, Eisen JA. BMC Bioinformatics. 2012 Oct 13; 13:264.
- G-NEST: a gene neighborhood scoring tool to identify co-conserved, co-expressed genes. Lemay DG, Martin WF, Hinrichs AS, Rijnkels M, German JB, Korf I, Pollard KS. BMC Bioinformatics. 2012 Sep 28; 13:253.
- Dynamic and coordinated epigenetic regulation of developmental transitions in the cardiac lineage. Wamstad JA, Alexander JM, Truty RM, Shrikumar A, Li F, Eilertson KE, Ding H, Wylie JN, Pico AR, Capra JA, Erwin G, Kattman SJ, Keller GM, Srivastava D, Levine SS, Pollard KS, Holloway AK, Boyer LA, Bruneau BG. Cell. 2012 Sep 28; 151(1):206-20.
- ProteinHistorian: tools for the comparative analysis of eukaryote protein origin. Capra JA, Williams AG, Pollard KS. PLoS Comput Biol. 2012; 8(6):e1002567.
- Novel bacterial taxa in the human microbiome. Wylie KM, Truty RM, Sharpton TJ, Mihindukulasuriya KA, Zhou Y, Gao H, Sodergren E, Weinstock GM, Pollard KS. PLoS One. 2012; 7(6):e35294.
- Analysis of human accelerated DNA regions using archaic hominin genomes. Burbano HA, Green RE, Maricic T, Lalueza-Fox C, de la Rasilla M, Rosas A, Kelso J, Pollard KS, Lachmann M, Pääbo S. PLoS One. 2012; 7(3):e32877.
- The role of GC-biased gene conversion in shaping the fastest evolving regions of the human genome. Kostka D, Hubisz MJ, Siepel A, Pollard KS. Mol Biol Evol. 2012 Mar; 29(3):1047-57.
- A high-resolution map of human evolutionary constraint using 29 mammals. Lindblad-Toh K, Garber M, Zuk O, Lin MF, Parker BJ, Washietl S, Kheradpour P, Ernst J, Jordan G, Mauceli E, Ward LD, Lowe CB, Holloway AK, Clamp M, Gnerre S, Alföldi J, Beal K, Chang J, Clawson H, Cuff J, Di Palma F, Fitzgerald S, Flicek P, Guttman M, Hubisz MJ, Jaffe DB, Jungreis I, Kent WJ, Kostka D, Lara M, Martins AL, Massingham T, Moltke I, Raney BJ, Rasmussen MD, Robinson J, Stark A, Vilella AJ, Wen J, Xie X, Zody MC, Broad Institute Sequencing Platform and Whole Genome Assembly Team , Baldwin J, Bloom T, Chin CW, Heiman D, Nicol R, Nusbaum C, Young S, Wilkinson J, Worley KC, Kovar CL, Muzny DM, Gibbs RA, Baylor College of Medicine Human Genome Sequencing Center Sequencing Team , Cree A, Dihn HH, Fowler G, Jhangiani S, Joshi V, Lee S, Lewis LR, Nazareth LV, Okwuonu G, Santibanez J, Warren WC, Mardis ER, Weinstock GM, Wilson RK, Genome Institute at Washington University , Delehaunty K, Dooling D, Fronik C, Fulton L, Fulton B, Graves T, Minx P, Sodergren E, Birney E, Margulies EH, Herrero J, Green ED, Haussler D, Siepel A, Goldman N, Pollard KS, Pedersen JS, Lander ES, Kellis M. Nature. 2011 Oct 12; 478(7370):476-82.
- Chromosomal haplotypes by genetic phasing of human families. Roach JC, Glusman G, Hubley R, Montsaroff SZ, Holloway AK, Mauldin DE, Srivastava D, Garg V, Pollard KS, Galas DJ, Hood L, Smit AF. Am J Hum Genet. 2011 Sep 09; 89(3):382-97.
- The phylogenetic diversity of metagenomes. Kembel SW, Eisen JA, Pollard KS, Green JL. PLoS One. 2011; 6(8):e23214.
- Ongoing GC-biased evolution is widespread in the human genome and enriched near recombination hot spots. Katzman S, Capra JA, Haussler D, Pollard KS. Genome Biol Evol. 2011; 3:614-26.
- Substitution patterns are GC-biased in divergent sequences across the metazoans. Capra JA, Pollard KS. Genome Biol Evol. 2011; 3:516-27.
- SIRT1 and SIRT3 deacetylate homologous substrates: AceCS1,2 and HMGCS1,2. Hirschey MD, Shimazu T, Capra JA, Pollard KS, Verdin E. Aging (Albany NY). 2011 Jun; 3(6):635-42.
- Genes expressed in specific areas of the human fetal cerebral cortex display distinct patterns of evolution. Lambert N, Lambot MA, Bilheu A, Albert V, Englert Y, Libert F, Noel JC, Sotiriou C, Holloway AK, Pollard KS, Detours V, Vanderhaeghen P. PLoS One. 2011 Mar 18; 6(3):e17753.
- Chromatin remodelling complex dosage modulates transcription factor function in heart development. Takeuchi JK, Lou X, Alexander JM, Sugizaki H, Delgado-Olguín P, Holloway AK, Mori AD, Wylie JN, Munson C, Zhu Y, Zhou YQ, Yeh RF, Henkelman RM, Harvey RP, Metzger D, Chambon P, Stainier DY, Pollard KS, Scott IC, Bruneau BG. Nat Commun. 2011 Feb 08; 2:187.
- PhylOTU: a high-throughput procedure quantifies microbial community diversity and resolves novel taxa from metagenomic data. Sharpton TJ, Riesenfeld SJ, Kembel SW, Ladau J, O'Dwyer JP, Green JL, Eisen JA, Pollard KS. PLoS Comput Biol. 2011 Jan 20; 7(1):e1001061.
- Novel genes exhibit distinct patterns of function acquisition and network integration. Capra JA, Pollard KS, Singh M. Genome Biol. 2010; 11(12):R127.
- PHAST and RPHAST: phylogenetic analysis with space/time models. Hubisz MJ, Pollard KS, Siepel A. Brief Bioinform. 2011 Jan; 12(1):41-51.
- Noncoding sequences near duplicated genes evolve rapidly. Kostka D, Hahn MW, Pollard KS. Genome Biol Evol. 2010; 2:518-33.
- The importance of being cis: evolution of orthologous fish and mammalian enhancer activity. Ritter DI, Li Q, Kostka D, Pollard KS, Guo S, Chuang JH. Mol Biol Evol. 2010 Oct; 27(10):2322-32.
- GC-biased evolution near human accelerated regions. Katzman S, Kern AD, Pollard KS, Salama SR, Haussler D. PLoS Genet. 2010 May 20; 6(5):e1000960.
- Composite interval mapping to identify quantitative trait loci for point-mass mixture phenotypes. Taylor SL, Pollard KS. Genet Res (Camb). 2010 Feb; 92(1):39-53.
- Detection of nonneutral substitution rates on mammalian phylogenies. Pollard KS, Hubisz MJ, Rosenbloom KR, Siepel A. Genome Res. 2010 Jan; 20(1):110-21.
- What makes us human? Pollard KS. Sci Am. 2009 May; 300(5):44-9.
- The bovine lactation genome: insights into the evolution of mammalian milk. Lemay DG, Lynn DJ, Martin WF, Neville MC, Casey TM, Rincon G, Kriventseva EV, Barris WC, Hinrichs AS, Molenaar AJ, Pollard KS, Maqbool NJ, Singh K, Murney R, Zdobnov EM, Tellam RL, Medrano JF, German JB, Rijnkels M. Genome Biol. 2009; 10(4):R43.
- Hotspots of biased nucleotide substitutions in human genes. Berglund J, Pollard KS, Webster MT. PLoS Biol. 2009 Jan 27; 7(1):e26.
- Transcriptional map of respiratory versatility in the hyperthermophilic crenarchaeon Pyrobaculum aerophilum. Cozen AE, Weirauch MT, Pollard KS, Bernick DL, Stuart JM, Lowe TM. J Bacteriol. 2009 Feb; 191(3):782-94.
- Supervised distance matrices. Pollard KS, van der Laan MJ. Stat Appl Genet Mol Biol. 2008; 7(1):Article 33.
- Empirical Bayes accomodation of batch-effects in microarray data using identical replicate reference samples: application to RNA expression profiling of blood from Duchenne muscular dystrophy patients. Walker WL, Liao IH, Gilbert DL, Wong B, Pollard KS, McCulloch CE, Lit L, Sharp FR. BMC Genomics. 2008 Oct 20; 9:494.
- Evaluation of two methods to estimate and monitor bird populations. Taylor SL, Pollard KS. PLoS One. 2008 Aug 27; 3(8):e3047.
- Accelerated sequence divergence of conserved genomic elements in Drosophila melanogaster. Holloway AK, Begun DJ, Siepel A, Pollard KS. Genome Res. 2008 Oct; 18(10):1592-601.
- Gene regulatory networks in lactation: identification of global principles using bioinformatics. Lemay DG, Neville MC, Rudolph MC, Pollard KS, German JB. BMC Syst Biol. 2007 Nov 27; 1:56.
- A genome-wide approach to identifying novel-imprinted genes. Pollard KS, Serre D, Wang X, Tao H, Grundberg E, Hudson TJ, Clark AG, Frazer K. Hum Genet. 2008 Jan; 122(6):625-34.
- Biased clustered substitutions in the human genome: the footprints of male-driven biased gene conversion. Dreszer TR, Wall GD, Haussler D, Pollard KS. Genome Res. 2007 Oct; 17(10):1420-30.
- Transcriptional control in embryonic Drosophila midline guidance assessed through a whole genome approach. Magalhães TR, Palmer J, Tomancak P, Pollard KS. BMC Neurosci. 2007 Jul 31; 8:59.
- Forces shaping the fastest evolving regions in the human genome. Pollard KS, Salama SR, King B, Kern AD, Dreszer T, Katzman S, Siepel A, Pedersen JS, Bejerano G, Baertsch R, Rosenbloom KR, Kent J, Haussler D. PLoS Genet. 2006 Oct 13; 2(10):e168.
- An RNA gene expressed during cortical development evolved rapidly in humans. Pollard KS, Salama SR, Lambert N, Lambot MA, Coppens S, Pedersen JS, Katzman S, King B, Onodera C, Siepel A, Kern AD, Dehay C, Igel H, Ares M, Vanderhaeghen P, Haussler D. Nature. 2006 Sep 14; 443(7108):167-72.
- The UCSC Archaeal Genome Browser. Schneider KL, Pollard KS, Baertsch R, Pohl A, Lowe TM. Nucleic Acids Res. 2006 Jan 01; 34(Database issue):D407-10.
- Identifying genetic networks underlying myometrial transition to labor. Salomonis N, Cotte N, Zambon AC, Pollard KS, Vranizan K, Doniger SW, Dolganov G, Conklin BR. Genome Biol. 2005; 6(2):R12.
- Augmentation procedures for control of the generalized family-wise error rate and tail probabilities for the proportion of false positives. van der Laan MJ, Dudoit S, Pollard KS. Stat Appl Genet Mol Biol. 2004; 3:Article15.
- Multiple testing. Part II. Step-down procedures for control of the family-wise error rate. van der Laan MJ, Dudoit S, Pollard KS. Stat Appl Genet Mol Biol. 2004; 3:Article14.
- Multiple testing. Part I. Single-step procedures for control of general type I error rates. Dudoit S, van der Laan MJ, Pollard KS. Stat Appl Genet Mol Biol. 2004; 3:Article13.
- Statistical inference for simultaneous clustering of gene expression data. Pollard KS, van der Laan MJ. Math Biosci. 2002 Mar; 176(1):99-121.
Contact
Katie Pollard
Email
415.734.2711
Lab Members
Daniela Arce, PhD
Visiting Researcher
Patrick Bradley, PhD
Visiting Scientist
Annamarie Bustion
Graduate Student
Luis Chumpitaz Diaz
Student Intern
Geoff Fudenberg, PhD
Visiting Scientist
Katie Gjoni
Graduate Student
Miriam Goldman
Graduate Student
Laura Gunsalus
Graduate Student
Alisha Holloway, PhD
Visiting Scientist
Xiaofan Jin, PhD
Bioinformatics Fellow
Kathleen Keough, PhD
Bioinformatics Fellow
Shuzhen Kuang, PhD
Bioinformatics Fellow
Abigail Lind, PhD
Bioinformatics Fellow
Calla Martyn
Graduate Student
Maureen Pittman
Graduate Student
Pawel Przytycki, PhD
Bioinformatics Fellow
Md. Abul Hassan Samee, PhD
Visiting Scientist
Zhou Shi, PhD
Visiting Postdoc
Byron Smith, PhD
Visiting Postdoc
Catherine Tcheandjieu, PhD
Visiting Scientist
Catherine Tcheandjieu, PhD
Visiting Scientist
Sean Whalen, PhD
Senior Staff Research Scientist
Chunyu Zhao, PhD
Visiting Scientist