Unpublished Preprints

* co-first authors; † co-corresponding authors; group members in bold

3.
The BTB transcription factors ZBTB11 and ZFP131 maintain pluripotency by pausing POL II at pro-differentiation genes
G Garipler, C Lu, A Morrissey, LS Lopez-Zepeda, SE Vidal, B Aydin, M Stadtfeld, U Ohler, S Mahony, NE Sanjana, EO Mazzoni
bioRxiv 2020.11.23.391771
2.
Synthetic genomic reconstitution reveals principles of mammalian Hox cluster regulation
S Pinglay, M Bulajić, DP Rahe, E Huang, R Brosh, S German, JA Cadley, L Rieber, N Easo, S Mahony, MT Maurano, LJ Holt, EO Mazzoni, JD Boeke
bioRxiv 2021.07.07.451065
1.
PEGR: a flexible management platform for reproducible epigenomic and genomic research
D Shao, GD Kellogg, A Nematbakhsh, P Kuntala, S Mahony, BF Pugh, WKM Lai
bioRxiv 2021.07.26.453821

Journal Articles

* co-first authors; † co-corresponding authors; group members in bold

51.
Domain adaptive neural networks improve cross-species prediction of transcription factor binding
K Cochran, D Srivastava, A Shrikumar, A Balsubramani, RC Hardison, A Kundaje, S Mahony
Genome Research 2022 accepted
50.
High resolution protein architecture of the budding yeast genome
MJ Rossi, PK Kuntala, WKM Lai, N Yamada, N Badjatia, C Mittal, G Kuzu, K Bocklund, NP Farrell, TR Blanda, JD Mairose, AV Basting, KS Mistretta, DJ Rocco, ES Perkinson, GD Kellogg, S Mahony, BF Pugh
Nature 2021 592(7853):309-314
49
S3V2-IDEAS: a package for normalizing, denoising and integrating epigenomic datasets across different cell types
G Xiang, BM Giardine, S Mahony, Y Zhang, RC Hardison
Bioinformatics 2021 37(18):3011-3
48.
An interpretable bimodal neural network characterizes the sequence and preexisting chromatin predictors of induced transcription factor binding
D Srivastava, B Aydin, EO Mazzoni, S Mahony
Genome Biology 2021 22(1):20
47.
The PfAP2-G2 transcription factor is a critical regulator of gametocyte maturation
S Singh, JM Santos, LM Orchard, N Yamada, R van Biljon, HJ Painter, S Mahony, M Llinas
Molecular Microbiology 2021 10.1111/mmi.14676
46.
Hox binding specificity is directed by DNA sequence preferences and differential abilities to engage inaccessible chromatin
M Bulajić*, D Srivastava*, JS Dasen, H Wichterle, S Mahony, EO Mazzoni
Development 2020 147(22):dev.194761 [Cover Article]
45.
Alignment and quantification of ChIP-exo crosslinking patterns reveal the spatial organization of protein-DNA complexes
N Yamada, MJ Rossi, N Farrell, BF Pugh, S Mahony
Nucleic Acids Research 2020 gkaa618 [NAR Breakthrough Article]
44.
Assessing relationships between chromatin interactions and regulatory genomic activities using the self-organizing map
T Kunz, L Rieber, S Mahony
Methods 2020 S1046-2023(19)30277-4
43.
An integrative view of the regulatory and transcriptional landscapes in mouse hematopoiesis
G Xiang, CA Keller,  E Heuston,  BM Giardine,  L An,  AQ Wixom, A Miller, A Cockburn,  J Lichtenberg,  B Göttgens, Q Li, D Bodine,  S Mahony,  J Taylor,  GA Blobel, MJ Weiss, Y Cheng, F Yue, J Hughes,  DR Higgs, Y Zhang,  RC Hardison
Genome Research (2020) 30:472-484
42.
ChExMix: a method for identifying and classifying protein-DNA interaction subtypes
N Yamada, PK Kuntala, BF Pugh, S Mahony
Journal of Computational Biology (2020) 27(3):429-435
41.
Systematic integration of GATA transcription factors and epigenomes via IDEAS paints the regulatory landscape of hematopoietic cells
RC Hardison, Y Zhang, CA Keller, G Xiang, EF Heuston, L An, J Lichtenberg, BM Giardine, D Bodine, S Mahony, Q Li, F Yue, MJ Weiss, GA Blobel, J Taylor, J Hughes, DR Higgs, B Göttgens
IUBMB Life (2020) 72(1):27-38 [review article]
40.
Direct prediction of regulatory elements from partial data without imputation
Y Zhang, S Mahony
PLoS Computational Biology (2019) 15(11):e1007399
39.
Sequence and chromatin determinants of transcription factor binding and the establishment of cell type-specific binding patterns
D SrivastavaS Mahony
BBA Gene Regulatory Mechanisms (2019) 19:194443 [review article]
38.
Joint inference and alignment of genome structures enables characterization of compartment-independent reorganization across cell types
L RieberS Mahony
Epigenetics & Chromatin (2019) 12(1):61
37.
Proneural factors Ascl1 and Neurog2 contribute to neuronal subtype identities by establishing distinct chromatin landscapes
B Aydin, A Kakumanu, M Rossillo, M Moreno-Estelles, G Garipler, N Ringstad, N Flames, S Mahony, EO Mazzoni
Nature Neuroscience (2019) 35(6):903-913
36.
Characterizing protein-DNA binding event subtypes in ChIP-exo data
N Yamada, WKM Lai, N Farrell, BF Pugh, S Mahony
Bioinformatics (2019) 35(6):903-913 [ISCB RegSys “top 10 reading papers of 2019”]
35.
Widespread and precise reprogramming of yeast protein-genome interactions in response to heat shock
V Vinayachandran, R Reja, MJ Rossi, B Park, L Rieber, C Mittal, S Mahony, BF Pugh
Genome Research (2018) 28:357-366
34.
Deconvolving sequence features that discriminate between overlapping regulatory annotations
A Kakumanu, S Velasco, EO Mazzoni, S Mahony
PLoS Computational Biology (2017) 13(10):e1005795
33.
miniMDS: 3D structural inference from high-resolution Hi-C data
L RieberS Mahony
Bioinformatics (2017) 33 (14):i261-i266
32.
A multi-step transcriptional and chromatin state cascade underlies motor neuron programming
S Velasco*, MM Ibrahim*, A Kakumanu*, G Garipler, B Aydin, MA Al-Sayegh, A Hirsekorn, F Abdul-Rahman, R Satija, U Ohler, S Mahony, EO Mazzoni
Cell Stem Cell (2017) 20(2):205-217.e8
31.
The pioneer transcription factor FoxA maintains an accessible nucleosome configuration at enhancers for tissue-specific gene activation
M Iwafuchi-Doi, G Donahue, A Kakumanu, JA Watts, S Mahony, BF Pugh, D Lee, KH Kaestner, KS Zaret
Molecular Cell (2016) 62(1): 72-91
30.
Engineered stomach tissues as a renewable source of functional beta-cells for blood glucose regulation
C Ariyachet, A Tovaglieri, G Xiang, J Lu, MS Shah, CA Richmond, C Verbeke, DA Melton, BZ Stanger, D Mooney, RA Shivdasani, S Mahony, Q Xia, DT Breault, Q Zhou
Cell Stem Cell (2016) 18(3):410-421
29.
Phenome-wide interaction study (PheWIS) in AIDS clinical trials group data (ACTG)
SS Verma, AT Frase, A Verma, SA Pendergrass, S Mahony, DW Haas, MD Ritchie
Pacific Symposium on Biocomputing (2016) 21:57-68
28.
Genome-wide organization of GATA1 and TAL1 determined at high resolution
GC Han, V Vinayachandran, A Bataille, B Park, KY Chan-Salis, CA Keller, M Long, S Mahony, RC Hardison, BF Pugh
Molecular & Cell Biology (2016) 36(1):157-172
27.
Protein-DNA binding in high resolution
S Mahony, BF Pugh
Critical Reviews in Biochemistry and Molecular Biology (2015) 4:269-283 [review article]
26.
Gene co-regulation by Fezf2 selects neurotransmitter identity and connectivity of corticospinal neurons
S Lodato, BJ Molyneax, E Zuccaro, LA Goff, H-H Chen, W Yuan, A Meleski, E Takahashi, S Mahony, JL Rinn, DK Gifford, P Arlotta
Nature Neuroscience (2014) 17(8):1046-54
25.
An integrated model of multiple-condition ChIP-seq data reveals predeterminants of Cdx2 binding
S Mahony*, MD Edwards*, EO Mazzoni, RI Sherwood, A Kakumanu, CA Morrison, H Wichterle, DK Gifford
PLoS Computational Biology (2014) 10(3):e1003501
24.
A Cdx4-Sall4 regulatory module controls the transition from mesoderm formation to embryonic hematopoiesis
EJ Paik, S Mahony, RM White, EN Price, A DiBiase, B Dorjsuren, C Mosimann, AJ Davidson, DK Gifford, LI Zon
Stem Cell Reports (2013) 1(5):425-436
23.
Synergistic binding of transcription factors to cell-specific enhancers programs motor neuron identity
EO Mazzoni*, S Mahony*, M Closser, CA Morrison, S Nedelec, DJ Williams, D An, DK Gifford, H Wichterle
Nature Neuroscience (2013) 16(9):1219-1227
22.
Saltatory remodeling of Hox chromatin in response to rostrocaudal patterning signals
EO Mazzoni*, S Mahony*, M Peljto*, T Patel, SR Thornton, S McCuine, C Reeder, LA Boyer, RA Young, DK Gifford, H Wichterle
Nature Neuroscience (2013) 16(9):1191-1198 
21.
A multi-parametric flow cytometric assay to analyze DNA-protein interactions
M Arbab, S Mahony, H Cho, J Chick, PA Rolfe, J Van Hoff, V Morris, S Gygi, RL Maas, DK Gifford, R Sherwood
Nucleic Acids Research (2013) 41(2):e38
↓ BEFORE PENN STATE ↓
20.
High resolution genome wide binding event finding and motif discovery reveals transcription factor spatial binding constraints
Y Guo, S Mahony, DK Gifford
PLoS Computational Biology (2012) 8(8):e1002638
19.
Embryonic stem cell based system for the discovery and mapping of developmental transcriptional programs
EO Mazzoni, S Mahony, M Iacovino, CA Morrison, G Mountoufaris, M Closser, WA Whyte, RA Young, M Kyba, DK Gifford, H Wichterle
Nature Methods (2011) 8(12):1056-1058
18.
Large scale comparison of innate responses to viral and bacterial pathogens in mouse and macaque
GE Zinman, R Brower-Sinning, CH Emeche, J Ernst, GT Huang, S Mahony, AJ Myers, DM O’Dee, JL Flynn, GJ Nau, TM Ross, RD Salter, PV Benos, Z Bar-Joseph, PA Morel
PLoS ONE (2011) 6(7):e22401
17.
Ligand-dependent dynamics of retinoic acid receptor binding during early neurogenesis
S Mahony*, EO Mazzoni*, S McCuine, RA Young, H Wichterle, DK Gifford
Genome Biology (2011) 12(1):R2 
16.
Discovering homotypic binding events at high spatial resolution
Y Guo, G Papachristoudis, RC Altshuler, GK Gerber, TS Jaakkola, DK Gifford, S Mahony
Bioinformatics (2010) 26(24):3028-3034
15.
Global control of motor neuron topography mediated by the repressive actions of a single Hox gene
H Jung, J Lacombe, EO Mazzoni, KF Leim, J Grinstein, S Mahony, D Mukopadhyay, DK Gifford, RA Young, KV Anderson, H Wichterle, JS Dasen
Neuron (2010) 67(5):781-796
14.
Feed-forward regulation of a cell fate determinant by an RNA-binding protein generates asymmetry in yeast
JJ Wolf, RD Dowell, S Mahony, M Rabani, DK Gifford, GR Fink
Genetics (2010) 185:513-522
13.
ORegAnno: an open-access community-driven resource for regulatory annotation
OL Griffith, SB Montgomery, …, S Mahony (7 of 29 authors), …, CM Bergman, SJM Jones
Nucleic Acids Research (2008) 36(Database issue):D107-13
12.
Combined analysis reveals a core set of cycling genes
Y Lu, S Mahony, PV Benos, R Rosenfeld, I Simon, LL Breeden, Z Bar-Joseph
Genome Biology (2007) 8(7):R146
11.
Inferring protein-DNA dependencies using motif alignments and mutual information
S Mahony, PE Auron, PV Benos
Bioinformatics (2007) 23(13):i297-i304
10.
Regulatory conservation of protein coding and miRNA genes in vertebrates: lessons from the opossum genome
S Mahony, DL Corcoran, E Feingold, PV Benos
Genome Biology (2007) 8(5):R84
9.
Genome of the marsupial Monodelphis domestica reveals innovation in non-coding sequence
TS Mikkelsen, MJ Wakefield, …, S Mahony (37 of 64), …, ES Lander, K Lindblad-Toh
Nature (2007) 447:167-177
8.
STAMP: a web tool for exploring DNA-binding motif similarities
S Mahony, PV Benos
Nucleic Acids Research (2007) 35(Web Server issue):W253-W258
7.
DNA familial binding profiles made easy: comparison of various motif alignment and clustering strategies
S Mahony, P Auron, PV Benos
PLoS Computational Biology (2007) 3(3):e61
6.
Gene prediction in metagenomic libraries using the self-organising map and high performance computing techniques
N McCoy, S Mahony, A Golden
Lecture Notes in Bioinformatics (2007) 4360:99-110. (Proc. GCCB 2006)
5.
Self-organizing neural networks to support the discovery of DNA-binding motifs
S Mahony, PV Benos, TJ Smith, A Golden
Neural Networks (2006) 19(6-7):950-962
4.
Reconstructing an ancestral mammalian immune supercomplex from a marsupial MHC
K Belov, JE Deakin, AT Papenfuss, ML Baker, HV Siddle, N Gouin, DL Goode, TJ Sargeant, MD Robinson, MJ Wakefield, S Mahony, JGR Cross, PV Benos, PB Samollow, TP Speed, JA Marshall Graves, RD Miller
PLoS Biology (2006) 4(3):e46
3.
Improved detection of DNA motifs using a self-organized clustering of familial binding profiles
S Mahony, A Golden, TJ Smith, PV Benos
Bioinformatics (2005) 21(Suppl 1):i283-i291 (Proc. ISMB 2005)
2.
Transcription factor binding site identification using the self-organizing map
S Mahony, D Hendrix, A Golden, TJ Smith, DS Rokhsar
Bioinformatics (2005) 21(9):1807-14
1.
Gene prediction using the self-organizing map: automatic generation of multiple gene models
S Mahony, JO McInerney, TJ Smith, A Golden
BMC Bioinformatics (2004) 5:23