Anil Jegga

Position:

Departmental Affiliation(s):

Division of Biomedical Informatics (CCHMC) and

Department of Pediatrics (University of Cincinnati - College of Medicine)

Team & Projects:

  • Jing Chen: Disease candidate gene identification and prioritization based on functional similarity and topology
  • Sivakumar Gowrisankar: Prediction of functional impact of noncoding polymorphisms
  • Vivek Kaimal: microRNA based post-transcriptional regulatory networks

Research Description:

Trying very hard not to be interested in everything, we focus our research on biological networks, such as (1) gene regulatory networks (2) biomolecular interactions and disease networks, and (3) biomedical ontological networks.

Gene Regulatory Networks (GRNs): Completion of genome sequencing has shown that all animals share, more or less, the same repertoire of genes. To understand differences between cells within a species or between species or between healthy and disease states we need to understand when, where, and how genes are expressed. A lot of this information is contained in non-coding DNA. We are using and developing a variety of computational methods to understand how genes are wired together to form functional gene regulatory networks. Our predictions are tested experimentally, in collaboration with other labs.

Transcriptional Regulatory Networks (TRNs): Although the control of gene expression can occur in multiple steps, a vast majority of regulatory events occur at the level of transcription. The molecular basis for transcriptional regulation is the binding of transacting proteins (transcription factors - TFs) to cis-acting sequences (transcription factor binding sites - TFBS). We have developed a web accessible tool called Trafac for this purpose. Trafac identifies the cis-elements in the phylogenetic footprints which are non-coding DNA regions of 6 or more bp having almost 100% similarity and conserved across several species separated by several million years of evolution. We have also built a cis-regulatory database (GenomeTrafac) for all the RefSeq enlisted human and mouse mRNAs. Identification of the cis-regulatory regions will lead to construction of GRNs which provide clues to unravel the evolution of body plans. Evolutionary differences in GRNs of developmental processes must be responsible for morphological change. However, to demonstrate this fundamental principle explicitly needs synthesis of many more high-quality GRNs governing diverse developmental processes across a variety of species. Understanding cis-regulatory keys and the GRNs also facilitate studying the effect of variations within these regions. Many human diseases are known to result from genetic defects in transcription factors. In most cases, polymorphisms or mutations in transcription factors lead to pleiotropic effects. In addition, many events that lead to the process of tumorigenesis implicate either overexpression or mutations of TFs.

Post-transcriptional Microregulatory Networks (MRNs): An increasing number of reports acknowledge that the regulatory RNAs (rRNAs) are key players in the GRNs. Among these rRNAs are the microRNAs (miRs or miRNAs), small RNAs that regulate gene expression at the posttranscriptional level. miRNAs mediate posttranscriptional gene silencing through inhibition of protein production or degradation of mRNAs. So far little is known about the extent of regulation by miRNAs, especially their potential cooperation with other regulatory layers (transcription factors for instance) in the network. We are currently investigating the potential crosstalk between the miRNAs and transcription factors. In other words, interaction between posttranscriptional and transcriptional networks. Our current focus is on the miR-based microregulation of the p53 master regulatory network.

From Interactome to Diseasome - Mining biomolecular interactions for disease gene networks: Based on the hypothesis that novel disease genes reside in the same pathways as those of known disease genes and that disruption of genes of similar function will lead to the same phenotype, we are currently mining the biomolecular interactome for novel disease gene discovery and analysis.

Biomedical Ontological Networks (BONs): The primary goal of this project is to integrate various biomedical ontologies and capture the disease-gene associations from the biomedical literature. We are developing a common platform integrating heterogeneous ontologies and annotations like Gene, Disease, Anatomy and Mammalian Phenotype ontologies and pathways. The anatomy-disease associations are mined from the UMLSKS while the disease-gene associations are mined from OMIM, GAD and biomedical literature parsing (currently limited to GeneRIFs from NCBI). Other related areas of research:

  1. Prioritization of Disease-Causal SNPs: The integration of the coding SNPs (Single Nucleotide Polymorphisms) information and the protein structure and protein functional domains. Incorporating more than 25000 genes and proteins, PolyDoms integrates several data sources and connects processes that have traditionally been studied in isolation. We aim to predict the implications of non-synonymous SNPs on biological systems and processes via their occurrence in the conserved functional domains, structures, prediction algorithms (like SIFT and PolyPhen). After all one cannot understand the behavior of the cell without knowing this biological circuitry and the interplay of the individual players. We are also working on prioritization of non-coding SNPs.
  2. Prioritization of Disease-Causal Genes: The majority of common diseases are multi-factorial and modified by genetically and mechanistically complex polygenic interactions and environmental factors. High-throughput genome-wide studies like linkage analysis and gene expression profiling, tend to be most useful for classification and characterization but do not provide sufficient information to identify or prioritize specific disease causal genes. Extending on an earlier hypothesis that the majority of genes that impact or cause disease share membership in any of several functional relationships we are studying the effect of different data integration methods and disease candidate gene prioritization. We strongly believe that our approach, ToppGene, which for the first times uses mouse phenotype data as one of the features for gene prioritization, greatly improves the human disease candidate gene analysis and prioritization.  

Here's one of my presentations (a little outdated though) that outlines some of our Functional Genomics Projects (Download the presentation). Additional details of my research projects can be found here.

List of Projects (Click here for more details):

To achieve my research goals, I use genomics (functional and comparative) and computational biology tools (bioinformatic approaches). Here's a list of our efforts - including past and current, and also those in pipeline.

Comparative Genomics Tools (in-house developed databases and servers):

Functional Genomics Server and Repository

Systems Biology

  • Text-processing (Abstrainer)
    1. Extracting protein-protein interactions from biomedical literature (XPrInt)
    2. Extracting disease-gene associations from biomedical literature, principally from MedLine abstracts (PatholoGene)
  • Disease Gene Prioritization (ToppGene)

Representative Publication(s) and Presentations:

Published

2008

  1. Gudivada RC, Qu XA, Chen J, Jegga AG, Neumann EK, Aronow BJ. 2008. Identifying disease-causal genes using Semantic Web-based representation of integrated genomic and phenomic knowledge. J Biomed Inform. [Epub ahead of print]
  2. Jegga AG and Aronow BJ 2008 Evolutionarily Conserved Noncoding DNA. In: Encyclopedia of Life Sciences (ELS). John Wiley & Sons, Ltd: Chichester. DOI: 10.1002/9780470015902.a0006126.pub2
  3. Takemoto CM, Lee YN, Jegga AG, Zablocki D, Brandal S, Shahlaee A, Huang S, Ye Y, Gowrisankar S, Huynh J, McDevitt MA. Mast cell transcriptional networks. Blood Cells Mol Dis. 2008 Apr 10; [Epub ahead of print]
  4. Kamath MB, Houston IB, Janovski AJ, Zhu X, Gowrisankar S, Jegga AG and DeKoter RP 2008. Myeloid gene activation and T cell/natural killer cell gene repression in cells expressing two distinct PU.1 concentrations. Leukemia; doi:10.1038/leu.2008.67.
  5. Sinha AU, Kaimal V, Chen J and Jegga AG 2008. Dissecting microregulation of a master regulatory network. BMC Genomics 9:88; doi:10.1186/1471-2164-9-88.
  6. Jegga AG, Inga A, Menendez D, Aronow BJ and Resnick MA 2008. Functional evolution of the p53 regulatory network through its target response elements. Proc Natl Acad Sci U S A. 105 (3): 945-950. Epub 2008 Jan 10.

2007

  1. Chen J, Xu H, Aronow BJ, Jegga AG 2007. Improved human disease candidate gene prioritization using mouse phenotype. BMC Bioinformatics 8(1): 392 [Epub ahead of print]; doi:10.1186/1471-2105-8-392
  2. Jegga AG, Chen J, Gowrisankar S, Deshmukh M, Kaimal V, Gudivada R, Kong S and Aronow BJ 2007. GenomeTrafac: A genome-wide database for the detection of conserved transcription factor binding site clusters in both conventional and microRNA mouse-human gene orthologs. Nucleic Acids Research 35 (Database issue): D116-D121; doi:10.1093/nar/gkl1011.
  3. Jegga AG, Gowrisankar S, Chen J and Aronow BJ 2007. PolyDoms: a whole genome database for the identification of non-synonymous coding SNPs with the potential to impact disease. Nucleic Acids Research 35 (Database issue): D700-D706; doi:10.1093/nar/gkl826.
  4. Liu C, Aronow BJ, Jegga AG, Wang N, Miethke A, Mourya R, Bezerra JA 2007. Novel resequencing chip customized to diagnose mutations in patients with inherited syndromes of intrahepatic cholestasis. Gastroenterology 132(1):119-126. Epub 2006 Oct 21.
  5. Diwan A, Koesters AG, Odley AM, Pushkaran S, Baines CP, Spike BT, Daria D, Jegga AG, Geiger H, Aronow BJ, Molkentin JD, Macleod KF, Kalfa TA, Dorn GW 2nd. 2007. Unrestrained erythroblast development in Nix-/- mice reveals a mechanism for apoptotic modulation of erythropoiesis. Proc Natl Acad Sci U S A. 2007 104(16):6794-6799 [Epub ahead of print] [Pdf].
  6. Markey MP, Bergseid J, Bosco EE, Stengel K, Xu H, Mayhew CN, Schwemberger SJ, Braden WA, Jiang Y, Babcock G, Jegga AG, Aronow BJ, Reed MF, Wang JYJ and Knudsen ES 2007. Loss of the retinoblastoma tumor suppressor: differential action on transcriptional programs related to cell cycle control and immune function. Oncogene 26(43): 6307-6318 [Epub ahead of print].
  7. Kaiser S, Park YK, Franklin JL, Halberg RB, Yu M, Jessen WJ, Freudenberg J, Chen X, Haigis K, Jegga AG, et al. 2007. Transcriptional recapitulation and subversion of embryonic colon development by
    mouse colon tumor models and human colon cancer. Genome Biol. 8(7): R131 [Epub ahead of print]
  8. Jegga AG, Aronow B, Handwerger 2007. Microarray-based Gene Expression Analysis of Endocrine Systems: Principles of Experimental Design and Interpretation In Genomics in Endocrinology: DNA Microarray Analysis in Endocrine Health and Disease Series (Contemporary Endocrinology) Handwerger S and Aronow B (Eds.). Humana Press, USA (October 1, 2007) (In press) (Hardcover ISBN: 978-1-58829-651-1).
  9. Jegga AG, Chen J, Gowrisankar S, Deshmukh M and Aronow BJ. GenomeTrafac: A Whole-Genome Resource for the Detection of Conserved Transcription Factor Binding Site Motifs and Clusters in Promoters and Flanking Regions of Known Human-Mouse Gene Orthologs. In Applications of Statistical and Machine Learning Methods in Bioinformatics; Series: Advances in Computational and Systems Biology, Vol 1 (eds. Meller J and Nowak W), 2007 Peter Lang Publishing Group.

2006

  1. Miller SJ, Rangwala F, Williams J, Ackerman P, Kong S, Jegga AG, Kaiser S, Aronow BJ, Frahm S, Kluwe L, Mautner V, Upadhyaya M, Muir D, Wallace M, Hagen J, Quelle DE, Watson MA, Perry A, Gutmann DH, and Ratner N. 2006. Large-Scale molecular comparison of human schwann cells to malignant peripheral nerve sheath tumor cell lines and tissues. Cancer Research 66 (5): 2584-91.

2005

  1. Jegga AG, Gupta A, Gowrisankar S, Deshmukh MA, Connolly S, Finley K, Aronow BJ 2005. CisMols Analyzer: identification of compositionally similar cis-element clusters in ortholog conserved regions of coordinately expressed genes. Nucleic Acids Research 33 (Web Server Issue): W408-W11. [Pdf]
  2. Jegga AG, Kong S, Zhang J, Moseley A, Gupta A, Williams SS, Genter MB and Aronow1 BJ 2005. Comparative Genomics of Tissue Specific Gene Expression In Gene Expression and Regulation (ed. J, Ma), Springer, USA. (see at amazon.com)
  3. Vukkadapu SS, Belli JM, Ishii K, Jegga AG, Hutton JJ, Aronow BJ, Katz JD. Dynamic interaction between T cell-mediated beta cell damage and beta cell repair in the run-up to autoimmune diabetes of the NOD mouse 2005. Physiol Genomics. 21(2): 201-11.

2004

  1. Hutton JJ, Jegga AG, Kong S, Gupta A, Ebert C, Williams S, Katz JD and Aronow BJ 2004. Microarray and comparative genomics-based identification of genes and gene regulatory regions of the mouse immune system. BMC Genomics 5(1): 82 [Oct 25, 2004; Epub ahead of print].
  2. Zhang J, Moseley A, Jegga AG, Gupta A, Witte DP, Sartor M, Medvedovic M, Williams SS, Ley-Ebert C, Coolen L, Egnaczyk G, Genter MB, Lehman M, Lingrel J, Maggio J, Parysek L, Walsh R, Xu M, Aronow BJ. 2004. Neural system-enriched gene expression, relationship to biological pathways and neurological diseases. Physiological Genomics 18:167-83 [Pdf].
  3. Livingston RJ, Von Niederhausern A, Jegga AG, Crawford DC, Carlson CS, Rieder MJ, Gowrisankar S, Aronow BJ, Weiss RB, Nickerson DA. 2004. Pattern of Sequence Variation Across 213 Environmental Response Genes. Genome Res. 14:1821-31. Epub 2004 Sep 13 [Pdf].
  4. Kim J.-w., Zeller KI, Wang Y, Jegga AG, Aronow BJ, O'Donnell KA, and Dang CV 2004. Evaluation of Myc E-Box Phylogenetic Footprints in Glycolytic Genes by Chromatin Immunoprecipitation Assays. Mol. Cell. Biol. 24: 5923-5936 [Pdf].
  5. Bonizzi G, Bebien M, Otero DC, Johnson-Vroom KE, Cao Y, Vu D, Jegga AG, Aronow BJ, Ghosh VG, Rickert RC and Karin M 2004. Activation of IKKalpha target genes depends on recognition of specific kappaB binding sites by RelB:p52 dimers. EMBO J. 23(21): 4202-4210 [Pdf].

2003

  1. Jegga AG and Aronow BJ 2003. Evolutionarily Conserved Noncoding DNA. In Nature Encyclopedia of the Human Genome, Vol 2, pp 347-354. Nature Publishing Group, England and In Encycyclopedia of Life Sciences. John Wiley and Sons, Ltd: Chichester [Pdf].
  2. Zeller KI, Jegga AG, Aronow BJ, O'Donnell KA and Dang CV 2003. An integrated database of genes responsive to the Myc oncogenic transcription factor: identification of direct genomic targets. Genome Biology 4: R69 [Pdf].
  3. Genter MB, Van Veldhoven PP, Jegga AG, Sakthivel B, Kong S, Stanley K, Witte DP, Ebert CL, Aronow BJ. 2003. Microarray-based discovery of highly expressed olfactory mucosal genes: potential roles in the various functions of the olfactory system. Physiol Genomics 16: 67-81. Epub 2003 Oct 21. [Pdf].

2002

  1. Jegga AG, Sherwood SP, Carman JW, Pinski AT, Phillips JL, Pestian JP and Aronow BJ 2002. Detection and Visualization of Compositionally Similar Cis-Regulatory Element Clusters in Orthologous and Coordinately Expressed Genes. Genome Research 12 (9): 1408-1417 [Pdf].
  2. Bates MD, Erwin CR, Sanford LP, Wiginton D, Bezerra JA, Schatzman LC, Jegga AG, Ley-Ebert C, Williams SS, Steinbrecher KA, Warner BW, Cohen MB and Aronow BJ. 2002. Novel genes and functional relationships in the adult mouse gastrointestinal tract identified by microarray analysis. Gastroenterology 122 (5):1467-1482 [Pdf].
  3. Warren MA, Koshoffer A, Aronow BJ, Jegga AG, Brackenbury R (2002). Structure of the 5' Portion of the Human Plakoglobin Gene. J Invest Dermatol 119 (1):196-197.

<2002

  1. Jegga AKG and Raghavender KBP 1997. Abdominal wall reconstruction with external abdominal oblique myofascial flap in dogs: an experimental study. Indian Journal of Veterinary Surgery 18 (1): 12-14.

Abstracts, Posters and Presentations

  1. Jegga AG 2008. Making sense out of transcriptome - Integrative bioinformatic approaches. 3 S Biology Summer School. Trento, Italy, 18-22 August, 2008.The Centre for Integrative Biology (CIBIO), University of Trento, Italy Presentation; Hand-out (pdf).
  2. Jegga AG 2008. Translational Genomics and Biomedical Ontologies. 3 S Biology Summer School. Trento, Italy, 18-22 August, 2008.The Centre for Integrative Biology (CIBIO), University of Trento, Italy Presentation.
  3. Jegga AG 2008. Mining Bio-Medical Mountains - How Computer Science can help Biomedical Research and Health Sciences. Department of Computer Sciences, University of Cincinnati, June 23, 2008. Presentation
  4. Jegga AG 2008. Mining Bio-Medical Mountains - How Computer Science can help Biomedical Research and Health Sciences. Department of Computer Sciences, University of Cincinnati, February 13, 2008. Presentation
  5. Sinha AU, Phatak M, Bhatnagar R and Jegga AG 2007. Identifying functional binding motifs of tumor protein p53 using support vector machines. In Proceedings of International Conference on Machine Learning and Applications (ICMLA): 13-15 December 2007, Cincinnati, USA.
  6. Jegga AG 2007. Systems biology based integrative approaches to identify and prioritize novel disease candidate genes. First virtual conference on "Bioinformatics to Systems Biology", November 16, 2007 (online at the Bioinformatics Organization) - Jointly organized by Bioinformatics.Org and the ISCB Regional Student Group, Denmark.Presentation
  7. Kamath M, Houston I, Janovski A, Zhu X, Gowrisankar S, Jegga AG, and DeKoter R 2007. Myeloid Gene Activation and T Cell/Natural Killer Cell Gene Repression in Cells Expressing Two Distinct PU.1 Concentrations. Blood (ASH Annual Meeting Abstracts), Nov 2007; 110: Abstract 1242.
  8. Horman SR, Chinamenveni S. Velu, Tristan Bourdeau, Avinash Baktula, Jinfang Zhu, William Paul, Jegga AG, Michael A. Caliguiri, Brian Gebelein, and H. Leighton Grimes A Conserved Mechanism of Transcription Factor Competition Controls Hematopoietic Progenitor Self-Renewal. Blood (ASH Annual Meeting Abstracts), Nov 2007; 110: Abstract 91.
  9. Qu AX, Gudivada CR, Jegga AG, Neumann EK, Aronow BJ 2007. Semantic web-based data representation and reasoning applied to disease mechanism and pharmacology, 2nd International Workshop on Data Mining in Bioinformatics (DMB 2007).
  10. Shaik SB, Jegga AG, Menon AG, and Pauletti GM 2007. Identification of novel peptide ligands for putative transcytosis receptors expressed in the human placenta. 2007 AAPS Annual Meeting and Exposition November 9-15, 2007. San Diego Convention Center San Diego, California.
  11. Sinha AU*, Bhatnagar R and Jegga AG. 2007. Microregulation of a master regulatory network. Ohio Collaborative Conference on Bioinformatics (OCCBIO), Miami University, Oxford, Ohio, July 9-11. (*Awarded first prize for best student presentation)
  12. Kaimal V*, Jegga AG and Aronow BJ. 2007 Predicting the functional impact of microRNAs on developmental processes. Ohio Collaborative Conference on Bioinformatics (OCCBIO), Miami University, Oxford, Ohio, July 9-11. (*Awarded third prize for best student presentation)
  13. Gowrisankar S, Aronow BJ and Jegga AG. 2007. Transcriptional Genomics of Heart Development. Ohio Collaborative Conference on Bioinformatics (OCCBIO), Miami University, Oxford, Ohio, July 9-11.
  14. Chen J, Huan X, Aronow BJ and Jegga AG. 2007. Improved human disease candidate gene prioritization using mouse phenotype. Ohio Collaborative Conference on Bioinformatics (OCCBIO), Miami University, Oxford, Ohio, July 9-11.
  15. Gudivada RC, Qu AX, Jegga AG, Neumann EK, Aronow BJ. 2007. A Genome - Phenome Integrated Approach for Mining Disease-Causal Genes using Semantic Web. HCLS Workshop, 16th International World Wide Web Conference, May 8-12, 2007, Banff, Alberta, Canada.
  16. Jegga AG, 2006. Systems biology-based Approaches to Identify Alzheimer's Disease-Susceptibility Genes. October 19, 2006, Hosted by Society for Neurochemistry (SNCI) & M.Tech. Bioinformatics Program, School of Life Sciences, University of Hyderabad, Hyderabad, India. Presentation; Abstract.
  17. Velu CS, Jegga AG, Kaimal V, Aronow BJ Grimes HL 2006. miR-21 Is a Transcriptional Target of Growth Factor Independent -1; Implications for Transcriptional Regulation of microRNA. Blood (ASH Annual Meeting Abstracts) 2006 108: Abstract 1178
  18. Ranga Chandra Gudivada, Qu X, Jegga AG, Neumann EK, Aronow BJ. 2006. Relevance-Ranking and Inferencing of Disease Phenotype, Etiology, Pathophysiological Mechanism, and Therapeutic Opportunities Using Biomedical Semantic Web Methodologies. November 6, 2006, Workshop for W3C Semantic Web Health Care and Life Sciences, Georgia Center, Athens, GA Abstract.
  19. Jegga AG, Gowrisankar S, Sychay G, Chen J, Gudivada RC, Kong S, Deshmukh MA, Muthukrishnan A and Aronow BJ 2005. Systems Biology Approaches to Integrative Biomedical Informatics. Genotype-To-Phenotype Correlation in Health and Disease, Welches, Oregon December 4-8. Hosted by The Center for Research on Occupational and Environmental Toxicology at Oregon Health and Science University. Poster; Abstract.
  20. Chen J, Jegga AG and Aronow BJ 2005. UMLS Concept Indexing of OMIM Clinical Synopsis and Knowledge Extraction. 13th Annual International Conference of Intelligent Systems for Molecular Biology (ISMB) 2005 Detroit, Michigan, June 25-29.
  21. Gowrisankar S, Chen J, Jegga AG and Aronow BJ 2005. Integrative bioinformatic approaches for functional analysis of non-synonymous single nucleotide polymorphisms. 13th Annual International Conference of Intelligent Systems for Molecular Biology (ISMB) 2005 Detroit, Michigan, June 25-29.
  22. Gudivada RC, Jegga AG and Aronow BJ 2005. Analysis of metastasis suppressor genes: comparative genomics and systems biology approaches. 13th Annual International Conference of Intelligent Systems for Molecular Biology (ISMB) 2005 Detroit, Michigan, June 25-29.
  23. Inga A*, Menendez D*, Jegga AG*, Aronow BJ and Resnick MA 2005. Evolutionary separation of the p53 regulatory network between mice and humans based on response element rules and pattern search. American Association of Cancer Research (AACR) 96th Annual Meeting, April 16-20, 2005, Anaheim/Orange County, CA, USA (* equal contribution).
  24. Gowrisankar S, Gudivada RC, Chen J, Kong S, Gupta A, Deshmukh A, Deshmukh M, Jegga AG and Aronow BJ. Systems Biology-based Bioinformatics Approaches to the Analysis of Genes and Diseases of the Digestive System: GenomeTrafac, Cismols, Polydoms, and Abstrainer. Digestive Disorder Research and Development Center (DDRDC) Scientific Retreat and External Advisory Board Meeting, Cincinnati Children's Hospital Medical Center (CCHMC), Cincinnati, Jan 22, 2005.
  25. Chen J, Gowrisankar S, Gudivada RC, Jegga AG, Aronow BJ. Integrative Bioinformatics Approaches for Studying the Impact of Genomics and Understanding the Disease Processes. University of Cincinnati Graduate Poster Forum, Cincinnati, March 2005.
  26. Jegga AG and Chen J 2004. Detection and visualization of conserved cis-element structures and their annotation using NLP-based extraction and GFF3-formatting of biomedical literature-derived SO features. Sequence Ontology Meeting August 19-20. University of California, Berkeley [Pdf].
  27. Gu Y, Alvares CJ, Jasti AC, Jansen M, Bean J, Jegga AG, Aronow BJ, Williams DA 2004. Alteration of RhoH Expression Is Associated with Human Diffuse Large B-Cell Lymphoma. 46th ASH Annual meeting and exposition 2004. Blood November 16; 104 (11): ASH Meeting Abstracts.
  28. Takemoto CM, Shahlaee AH, Ye Y, Zeller KI, Zablocki D, Huynh J, Huang S, DeKoter RP, Jegga AG, Aronow BJ, Dang CV, McDevitt MA. 2004. Transcriptional Regulation of a Distinct GATA-1 Isoform during Selection of the Mast and Erythroid Lineages. 46th ASH Annual meeting and exposition 2004. Blood November 16; 104 (11): ASH Meeting Abstracts.
  29. Logan MA, Callahan E, Steele M, Jegga AG, Aronow BJ and Vetter ML 2004. Identification of shared proneural bHLH transcriptional targets. FASEB Summer Conference: Transcriptional Regulation During Cell Growth, Differentiation, and Development August 14-19, 2004, Saxtons River, Vermont.
  30. Jegga AG 2003. Identification of compositionally similar cis-element clusters in coordinately regulated genes. Poster Presentation at Systems Biology: Genomic Approaches to Transcription Regulation Mar 6-9, Cold Spring Harbor Laboratory, New York. Poster; Abstract.
  31. Jegga AG 2001 Comparative genomics approaches to the analysis of conserved cis-regulatory element clusters. Poster Presentation at 11th International Workshop BITS: Functional Expression and Evolutionary Analysis Nov 9-12, DOE, Virginia
  32. Jegga AG, Gowrisankar S, Chen J, Adamczak R, Gupta A, Ramirez MA, Andra KSC, Carman JW and Aronow BJ. Cincinnati Comparative Mouse Genomics Centers Consortium: Bioinformatics Analysis Tools for Assessment of Human Gene Polymorphisms. Genes, Environment and Disease. Second annual CMGCC symposium, Environmental Genome Project, NIEHS, Boston, June 7 - 9, 2003 Poster; Abstract.
  33. Gowrisankar S, Deshmukh AS, Jegga AG and Aronow BJ 2004. An Integrative Approach for the Study of Sequence Variation Impact on Biological Processes, Diseases and Environmental Agents’ Risk. Third annual symposium of the Comparative Mouse Genomics Centers Consortium (CMGCC), Cell Cycle and DNA Repair Variants, June 1 to June 4, M. D. Anderson Cancer Center, Science Park - Research Division, Austin. Poster; Abstract.
  34. Chen J, Gowrisankar S, Jegga AG, Livingston R, Niederhausern AV, Crawford DC, Carlson CS, Rieder MJ, Weiss RB, Nickerson DA and Aronow BJ 2004. PolyDoms: Web Resource for Initial Functional Characterization of Protein Polymorphisms. Third annual symposium of the Comparative Mouse Genomics Centers Consortium (CMGCC), Cell Cycle and DNA Repair Variants, June 1 to June 4, M. D. Anderson Cancer Center, Science Park - Research Division, Austin. Poster; Abstract.

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