Konstantinos Krampis

Associate Professor

Research Interests: Bioinformatics, Artificial Intelligence, Machine Learning
Publications: PubMed Articles
Google Scholar Profile: Konstantinos Krampis

Konstantinos Krampis is an associate professor in the Department of Biological Sciences at Hunter College.

Profile

Konstantinos Krampis is currently an Associate Professor in the Department of Biological Sciences at Hunter College and Faculty of the Computer Science and Biology Ph.D. programs at CUNY. In addition, he is the Director of Bioinformatics and Biostatistics Core within the Cancer Health Disparity Partnership of Hunter College with Temple University / FCCC, and Adjunct Faculty at the Institute of Computational Biomedicine at Weill Cornell Medical College. Previously, he was an Assistant Professor at the J. Craig Venter Institute, and did graduate studies at the Virginia Bioinformatics Institute at Virginia Tech.

Up to now, he has funded his research with multiple awards by the National Science Foundation (NSF) and the National Institutes of Health (NIH) both as co-PI and PI. With these awards he has performed research and development of scalable bioinformatics solutions, running on compute clusters and the cloud by abstracting the underlying software complexity, enabling portability, scalability and seamless access across computing platforms. In addition, Prof. Krampis has implemented a Next-Generation Sequencing (NGS) facility and high-performance bioinformatics computing cluster at CUNY, and novel bioinformatics tools that enable broad application of genomics, in areas ranging from basic biological research to clinical genomics.

His current research focuses on Large Language Models and Artificial Intelligence interpretability, deep learning and machine learning, with applications for personal genomics and broadly in the field of genomic data science.

Educational Background

PhD in Bioinformatics, Virginia Tech
MSc/BSc in Molecular Biology, University of Athens

Research

Artificial Intelligence Large Language Models Interpretability
Machine Learning and AI applications for Bioinformatics
Computational Biology
Cancer and Personal Genomics
Health Disparities

Appointments and Affliations

4/2014 - Present City University of New York - Associate Professor
4/2014 - Present Center for Translational & Basic Research - Director of Bioinformatics
4/2014 - Present Weill Cornell Medical College - Faculty, Computational Biomedicine
5/2009 - 4/2014 J. Craig Venter Institute - Assistant Professor
8/2003 - 5/2009 Virginia Bioinformatics Institute - RA & Bioinformatics Engineer
8/2000 - 8/2003 University of Athens, Greece - Research Assistant (RA)

Courses Taught

BIO 42500, Computational Molecular Biology, every spring semester since 2015, Hunter College.
BIO 47106 / BIO 79006 Machine Learning for Bioinformatics, every fall semester since 2021, Hunter College.
BIO 48001 / 2, Introduction to Experimental Biology, every spring and fall semesters since 2015, Hunter College.
BIO 47105 / BIO 79005 Python for Bioinformatics, fall semesters 2014 - 2015, Hunter College.
BIO 23100, Microbiology with Bioinformatics Applications, every spring semester since 2021-2022, Hunter College.
BIO 79303 / CS 87100 Next-Gen Sequencing and Bioinformatics, fall semesters 2015-2020, CUNY Graduate Center.
BIO 79303 Machine Learning & AI for Bioinformatics, every fall semester since 2021, CUNY Graduate Center.
BIOL 89800 / CS 86190, Capstone - PhD mentoring, fall and spring semesters since 2014, CUNY Graduate Center.

Publications

Selected Publications on Machine Learning, AI and Bioinformatics:

Krampis K, Ross E, Ogunwobi O, Ma G, Mazumder R, Wultsch C. 2024 Principles of Artificial Neural Networks and Machine Learning for Bioinformatics Applications. Preprints: 202306.0042
Krampis K. Democratizing bioinformatics through easily accessible software platforms for non-experts in the field. 2022 BioTechniques. Feb 1;72(2):36-8.
Kim, B., T.A. Ali, C. Dong, C. Lijeron, R. Mazumder, C. Wultsch, and K. Krampis. 2019. miCloud: A Plug-n-Play, Extensible, On-Premises Bioinformatics Cloud for Seamless Execution of Complex Next-Generation Sequencing Data Analysis Pipelines. Journal of Computational Biology 26:280-284.

Kim, B., T. Ali, C. Lijeron, E. Afgan, and K. Krampis. 2017. Bio-Docklets: virtualization containers for single-step execution of NGS pipelines. GigaScience 6(8):gix048.
Kim, B., T. Ali, S. Hosmer, and K. Krampis. 2016. Visual Omics Explorer (VOE): a cross-platform portal for interactive data visualization. Bioinformatics 32:2050-2052.
Krampis, K., and C. Wultsch. 2015. A review of cloud computing bioinformatics solutions for next-gen sequencing data analysis and research. Methods in Next Generation Sequencing 2(1):23-34.
Krampis, K., T. Booth, B. Chapman, B. Tiwari, M. Bicak, D. Field, and K.E. Nelson. 2012. Cloud BioLinux: pre-configured and on-demand bioinformatics computing for the genomics community. BMC Bioinformatics 13:42.

Selected Publications on Metagenomics, Cancer and Personal Genomics:

Ghosh J., Schultz B.M., Chan J., … Krampis et al. 2022 Epigenome-Wide Study Identifies Epigenetic Outliers in Normal Mucosa of Patients with Colorectal Cancer. Cancer prevention research (Philadelphia, Pa.) Nov 1;15(11):755-66.
Speer, K.A., Teixeira, T.S.M., Brown, A.M., Perkins, S.L., Dittmar, K., Ingala, M.R., Wultsch, C., Krampis, K., Dick, C.W., Galen, S.C. and Simmons, N.B., 2022. Cascading effects of habitat loss on ectoparasite-associated bacterial microbiomes. ISME communications, 2(1), p.67.
Naidoo, M., Levine, F., Gillot, T., Orunmuyi, A.T., Olapade-Olaopa, E.O., Ali, T., Krampis, K., Pan, C., Dorsaint, P., Sboner, A. and Ogunwobi, O.O., 2021. MicroRNA-1205 Regulation of FRYL in Prostate Cancer. Frontiers in Cell and Developmental Biology, 9.

Brown, S.M., H. Chen, Y. Hao, B.P. Laungani, T.A. Ali, C. Dong, C. Lijeron, B. Kim, C. Wultsch, Z. Pei, and K. Krampis. 2019. MGS-Fast: Metagenomic shotgun data fast annotation using microbial gene catalogs. GigaScience 8:giz020.
Alterovitz, G., D. Dean, C. Goble, M.R. Crusoe, S. Soiland-Reyes, ..., K. Krampis, et al. 2018. Enabling precision medicine via standard communication of HTS provenance, analysis, and results. PLoS Biology 16(12):e3000099.
Cole, C., K. Krampis, K. Karagiannis, J.S. Almeida, W.J. Faison, M. Motwani, Q. Wan, A. Golikov, Y. Pan, and V. Simonyan. 2014. Non-synonymous variations in cancer and their effects on the human proteome: workflow for NGS data biocuration and proteome-wide analysis of TCGA data. BMC Bioinformatics 15:28.
Tyler, B. M., S. Tripathy, X. Zhang, P. Dehal, R.H. Jiang, A. Aerts,.., K. Krampis et al. 2006. Phytophthora genome sequences uncover evolutionary origins and mechanisms of pathogenesis. Science 313:1261-1266.

View Full List of Publications on PubMed

Awards and Grants

Years	Grants
2017 - 2018	CUNY Advanced Science Research Center (ASRC) Seed Award Program. Project Title: "Next Generation Sequencing for environmental DNA monitoring: understanding global biodiversity through bioinformatics”. Amount: $10,000
2016 - 2017	CUNY Center for Translational and Basic Research Pilot Award. Project Title: "Democratizing access to bioinformatics computing for health disparities research”. Amount: $78,000
2015 - 2016	National Institutes of Health. Project Title: “Expanding Infrastructure and Services of CUNY-CTBR Bioinformatics and Genomics Core”. Amount: $123,832
2015 - 2017	Weill Cornell Medical College, Clinical and Translational Science Center Pilot Award. Project Title: "Cross-platform, scalable Science as a Service (SciaaS) infrastructures for NGS data analysis”. Amount: $110,660
2014 - 2016	City University of New York. “Faculty startup award”. Amount $100,000
2014 - 2015	National Institutes of Health. “Development of a Bioinformatics Core and Sequencing Facility at Hunter College for Minority Health Disparities Research”. Amount: $485,000
2011 - 2014	National Institutes of Health. "Large-Scale Prokaryotic and Viral Next-Gen Sequencing Data Pipelines Using Cloud Computing”. Amount: $661,217

Years	Grants
2017 - 2018	National Institutes of Health. Project Title: “Mechanisms of regulation of progenitor proliferation and transformation” (ASRC Neuroscience sub-contract). Amount: $10,920
2014 - 2015	National Science Foundation. Project Title: “Development of the next-generation Arabidopsis Informatics Portal”. Amount: $2,434,910

Years	Honors and Awards
2018	Proposal Development / Faculty Research Award, City University of New York
2017	President’s Travel Award, Hunter College, City University of New York
2014	Entrepreneurship Lab NYC Selected Participant and Top 20 (300+ entries) Business Plan
2011	Bioinformatics Open Source Conference – Best Audience Voted Presentation Award
2008	Virginia Tech Graduate Association Executive Board Elected Member
2008	Virginia Tech Outstanding Interdisciplinary Doctoral Student Award
2008	Horace E. Alphin Doctoral Tuition Scholarship
2007	Virginia Tech Graduate Student Assembly Research Award
2004-2006	James and Ina Mae Doctoral Tuition Scholarship

Teaching and Mentoring

Years	Courses
2014 - 2016	“Programming for Computational Biology”. Computer coding for biologists, covering basic data types, program flow control, functions, regular expressions, working with NGS files, and object-oriented programming.
2015 - Present	“Computational Molecular Biology”. Sequence pattern matching, alignment, read mapping, variant calling, genome assembly, and gene prediction algorithms, in addition to data structures for efficient NGS data storage, taught based on the latest literature.
2015 - Present	“Next-Generation Sequencing Data Analysis”. Concepts of sequencing technology, data formats and bioinformatics tools, implementation of data pipelines on the command line or online Galaxy interface for RNA-seq, ChIP-seq, and metagenomics.

Years
2018	“A Plug and Play, on-Premises Bioinformatics Cloud, Providing Seamless, Single-Step Execution of NGS Pipelines”, Plant and Animal Genome International Conference, San Diego, CA.
2017	“Deploying Large-Scale Bioinformatics Workflows with Kubernetes on a Google Cloud Computer Cluster”, Bioinformatics Open Source Conference & Hackathon, Prague, Czech Republic.
2016	“NGS Sample Processing and Data Analysis through the CTBR Facility and Bioinformatics Computer Cluster”, workshop for CUNY and Weill Cornell Medical College faculty and students, New York, NY.
2015	“Scalable, Intuitive Genomic Sequencing Data Analysis with Galaxy and Cloud BioLinux”, New York City College of Technology, New York, NY.
2014	“Cloud BioLinux: Pre-Configured and On-Demand Virtual Machines for NGS Data Analysis”, 27th CTBR Symposium: Bioinformatics Applications in Health Disparities, New York, NY.
2013	“Genomic Sequencing Data Analysis using Cloud Computing and the Amazon EC2 platform”, NYU Center for Health Informatics and Bioinformatics, New York, NY.
2012	“South Africa National Research Network Workshop - Cloud BioLinux for High Performance Data Analysis”, Center of High Performance Computing, Johannesburg, South Africa.
2012	“Empowering Genomics in South Africa Workshop - Cloud Computing Solutions for Genome Sequence Data Analysis”, University of Limpopo, Polokwane, South Africa.
2011	“Cloud BioLinux for Bioinformatics Open Source Applications”, International Society for Computational Biology Conference, Vienna, Austria.
2011	“Biologically Inspired Approaches to Resilience”, Institute of Human and Machine Cognition, Ocala, FL.
2010	“From monolithic to distributed bioinformatics on the cloud”, Amazon Web Services, Seattle, WA.

Years	Graduate Students
2015 - Present	Jason Mighty, Ph.D. Candidate, Biological Sciences Dept. at Lehman College & CUNY Graduate Center, Thesis topic: "Characterization of small RNAs Toward Development of Novel Biomarkers for Retinal Disease".
2015 - Present	Allen Pan, Ph.D. Candidate, Biological Sciences Dept. at Hunter College & CUNY Graduate Center, Thesis topic: "Transcriptomics of Neuroprotective Mechanism of Epigallocatechin-3-gallate on Methamphetamine-induced neurotoxicity".
2014 - Present	Juliette Gorson, Ph.D. Candidate, Chemistry Dept. at Hunter College & CUNY Graduate Center, Thesis topic: "Connecting venom gene expression, function and species diversity in predatory marine snails of the Terebridae".
2014 - 2017	Samuel Hosmer, Ph.D. Candidate, Mathematics Dept. at Hunter College & CUNY Graduate Center, Spring 2015 internship on "Implementation of cloud computing based data analysis pipeline for CHIP-seq genomic sequencing data".
2010 - 2012	Priti Kumari, M.Sc. Bionformatics, Biochemistry Dept. at George Washington University, Thesis topic: "Parallel and Cloud Computing Based Genome Assembly Using Bidirected String Graphs".
2010 - 2012	Vivek Sarangi, M.Sc. Bionformatics, Biochemistry Dept. at George Washington University, Thesis topic: "Development and Evaluation of Cloud Computing Infrastructures for Next-Gen Sequencing Data analysis".

Years	Undergraduate Students and Interns
2014 - Present	Bioinformatics Internship in Bioinformatics Core Infrastructures Lab. Undergraduate interns join my research group for 3 to 6 months and participate in various research projects.
2016	Science Research Mentor at Urban Barcoding Project (UBRP) by Cold Spring Harbor Laboratory, NY. Mentored high-school students 1-2 hours weekly during the course of 9 months; the students worked on a metagenomics study to assess marine biodiversity.
2015	Mentor, Science Research Mentoring Program (SRMP), American Museum of Natural History, NY. Mentored high-school students 4 hours weekly during the course of 9 months, who worked NGS bioinformatics pipelines and data visualization using the Galaxy server.
2014	Summer Bioinformatics Workshop organized by Hunter Science High-School in New York City. Taught high-school students 3 hours weekly during the course of 9 months on bioinformatics programming and analysis of genomic sequencing datasets.

Committee and Scientific Service

Years	Committees
2016 - Present	Co-Chair, Ethics and Integrity Committee at the City University of New York. Organized a faculty working group to perform research and write a report as part the application for accreditation of CUNY by the Middle States Committee in Fall 2019.
2015 - Present	Bioinformatics M.Sc. Program at CUNY. Designed and wrote the program proposal, assembling a group of faculty and curriculum using existing and newly designed courses.
2015 - 2016	CUNY Data Science Committee. Contributed towards designing Data Science courses and developed two training grant proposals (NSF, NIH) to fund a Bioinformatics Data Science Ph.D. program.
2014 - 2015	CUNY Quantitative Biology Program Faculty. Worked towards planning new bioinformatics syllabi and course modules, contributing to undergraduate (e.g., biology, computer science) and graduate (e.g., bioinformatics) curricula.

Years	Committees
2018	High-Throughput Sequencing Computational Standards for Regulatory Sciences, Washington, DC .
2017	Dept. of Public Health Sciences, Penn State College of Medicine, Hershey, PA
2017	Dept. of Human Genetics, University of Pittsburgh, Pittsburgh, PA.
2017	Intelligent Systems for Molecular Biology (ISMB), Prague, Czech Republic.
2017	High-Throughput Sequencing Computational Standards for Regulatory Sciences, Washington, DC .
2017	Dept. of Computational Medicine, University of Michigan, Ann Arbor, MI
2016	Bioinformatics Ph.D. Program Guest Lecture, NYU Langonne Medical Center, New York, NY
2015	Global Health Informatics Conference, University of South Florida, Tampa, FL
2015	Biological Sciences Research Seminar, Lehman College, New York, NY
2015	Illumina Basespace Conference, Broad Institute, Cambridge, MA
2014	Galaxy Developer’s Conference, John Hopkins University, Baltimore, MD
2014	CTBR 27th Symposium: Bioinformatics & Medical Applications, New York, NY
2012	Cloud Computing Bioinformatics Symposium, Center Genomic Regulation, Spain
2012	Translational Bioinformatics On The Cloud, J&J Inc., New Brunswick, NJ
2012	NIH-NIAID Bioinformatics Symposium, Bethesda, MD
2011	Genomics Standards Consortium, European Bioinformatics Institute, Hinxton, UK

Bibliography

High-throughput bioinformatics infrastructures for cluster and cloud computing platforms.

Jensen T.L., Frasketi M., Conway K., Villarroel L., Hill H., Krampis K. and Goll J.B. (2017). F1000Research, 6, 2162. “RSEQREP: RNA-Seq Reports, an open-source cloud-enabled framework for reproducible RNA-Seq data processing, analysis, and result reporting”.
Ali T., Kim B., Lijeron C., Ogunwobi O.O., Mazumder R. and Krampis K. (2017). PeerJ Preprints, 5, p.e3385v1. “TED toolkit: a comprehensive approach for convenient transcriptomic profiling as a clinically oriented application”.
Kim B., Ali T., Lijeron C. and Krampis K. (2017). Gigascience. 6(8), 1–7. “Bio-Docklets: Virtualization Containers for Portable, Scalable NGS Data Analysis”.

Alterovitz G., Dean D.A., …. Krampis K., et al. (2017). bioRxiv, p.191783. “Enabling Precision Medicine via standard communication of NGS provenance, analysis, and results”.
Kim B., Ali T., Dong C., Laungani B., Wultsch C., Lijeron C. and Krampis K. (2017). bioRxiv, p.209734. “miCloud: a plug and play, on-premises bioinformatics cloud, providing seamless integration with Illumina genome sequencers”.
Kim B., Ali T., Hosmer S. and Krampis K. (2016). Bioinformatics, 10, 1093. “Visual Omics Explorer (VOE): a Cross-Platform Portal for Interactive Data Visualization”.
Afgan E., Krampis K., Goonasekera N., Skala K. and Taylor J. (2015). IEEE-MIPRO, 38, 223-228. “Building and provisioning bioinformatics environments on public and private clouds”.
Krampis K. and Wultsch C. (2015). Methods in Next Generation Sequencing, 2(1). “A Review of Cloud Computing Bioinformatics Solutions for Next-Gen Sequencing Data Analysis and Research”.
Kumari P., Mazumder R., Simonyan V. and Krampis K. (2015). F1000 Research, 4, 20. “Advantages of distributed and parallel algorithms that leverage Cloud Computing platforms for large-scale genome assembly”.
Krishnakumar V., Hanlon M.R., Contrino S., Ferlanti E.S., Krampis K…and Town C.D. (2014). Nucleic Acids Research, 28(43), 1003-1009. “Araport: the Arabidopsis Information Portal”.
Krampis K., Booth T., Chapman B., Tiwari B., Field D. and Nelson K.E. (2012). BMC Bioinformatics, 13, 42. “Cloud Biolinux: pre-configured and on-demand computing for the genomics community”.

Bioinformatics for Next Generation Sequencing (NGS) clinical and personal genomics.

Brown S.M., Hao Y., Chen H., Laungani B.P., Ali T.A., Dong C., Lijeron C., Kim B., Krampis K. and Pei Z. (2017). bioRxiv, p.120402. "Fast functional annotation of metagenomic shotgun data by DNA alignment to a microbial gene catalog".
Das D.K., Ali T., Krampis K. and Ogunwobi O. (2017). Data in Brief, 11, 131-35. “Fibronectin and androgen receptor expression data in prostate cancer obtained from a RNA-sequencing bioinformatics analysis”
Das D.K., Naidoo M., Ilboudo A., Park J.Y., Ali T., Krampis K., Robinson B.D., Osborne J.R. and Ogunwobi O. (2016). Experimental Cell Research, 348(2), 190-200. “miR-1207-3p regulates the androgen receptor in prostate cancer via FNDC1/fibronectin”.

Bubnell J., Jamet S., Tomoiaga D., D’Hulst C., Krampis K. and Feinstein P. (2015). PloS ONE, 10(10), p.e0141712. “In Vitro Mutational and Bioinformatics Analysis of the M71 Odorant Receptor and Its Superfamily”.
Cole C., Krampis K., Karagiannis K., Almeida J.S., Faison W.J., Motwani M., Wan Q., Golikov A., Pan Y., Simonyan V. and Mazumder R. (2014). BMC Bioinformatics, 15, 28. “ Non-synonymous variations in cancer and their effects on the human proteome: workflow for NGS data biocuration and proteome-wide analysis of TCGA data.”
Shamsaddini A., Yang P., Johnson E., Krampis K., Simonyan V. and Mazumder M. (2014). BMC Genomics, 15, 918. “Census-based rapid and accurate metagenome taxonomic profiling”.

Interdisciplinary research and novel applications of genomic sequencing and bioinformatics.

Wultsch C., Perkins S.L., Kelly M.J., Waits L.P., Quigley H., Amato G., and Krampis K. (In Prep). Molecular Ecology. “A new perspective in carnivore ecology and conservation: comparative gut microbiome composition, diversity, and functionality in sympatric Neotropical jaguars and pumas”.
Wultsch C., DeBarba M, Schmieder A., Graham T., Wait L.P., Kelly M.J. and Krampis K. (In Prep). Scientific Reports. “Carnivore Feeding Ecology: Advances using a DNA Metabarcording Approach”.
Ingala M.R., Simmons N.B., Wultsch C., Krampis K., Speer K.A., and S.L. Perkins. (In Prep). Applied and Environmental Microbiology. “Comparing Fecal and Intestinal Sampling Methods in Mammal Microbiome Research”.

Prince S.J., Song L., Qiu D., dos Santos J.V.M., Chai C., Joshi T., Patil G., Valliyodan B., Vuong T.D., Murphy M. and Krampis, K. (2015). BMC Genomics, 16(1), 132. “Genetic variants in root architecture-related genes in a Glycine soja accession, a potential resource to improve cultivated soybean”.
Wang H., Waller L., Tripathy S., St. Martin S.K., Zhou L., Krampis K. et al. (2010). The Plant Genome 3(1), 23-40. “Analysis of genes underlying soybean QTLs conferring partial resistance to P. sojae”.
Zhou L., Mideros S.X., Bao L., Hanlon R., Arredondo F., Tripathy S., Krampis K. et al. (2009). BMC Genomics, 26(10), 49. "Infection and genotype remodel the entire Soybean transcriptome".
Tyler B.M., Tripathy S., Kale S.D., Zhou L., Ferreira A., Dou D., Arredondo F.D., Mideros S.X., Bao L., Krampis K. and Jerauld, A. (2010). Phytopathology 99 (6), S164. “Comparative and functional genomics of oomycete infection”.
Prasinos C., Haralampidis K., Milioni D., Samakovli D., Krampis K. and Hatzopoulos P. (2008). Plant Molecular Biology, 67(4), 323. “Complexity of Hsp90 in organelle targeting”.
Wang H., Berry S., St. Martin S.K., Zhou L., Krampis K. et al. (2008). Phytopathology 98 (6), S165. “Allele mining for genes associated with partial resistance to Phytophthora sojae in soybean”.
Krampis K., Tyler B.M. and Boore J.L. (2006) Molecular Plant Microbe Interactions, 19(12), 1329-1336. "Extensive variation in nuclear mitochondrial DNA content between the genomes of P. sojae and P. ramorum".
Tyler B.M., Tripathy S…, Krampis K., et al. (2006) Science 313(5791), 1261-1266. "Phytophthora genome sequences uncover evolutionary origins and mechanisms of pathogenesis".
Prasinos C., Krampis K., Samakovli D. and Hatzopoulos P. (2005). Journal of Experimental Botany, 56(412), 633-644. “Tight regulation of expression of two Arabidopsis cytosolic Hsp90 genes during embryo development”.

Krampis K., Efstratios E. and Brown S.T. (2015, 2017). “Cloud-Based Next-Generation Sequencing Informatics”. Book Chapter in Next-Generation DNA Sequencing Informatics (pp. 361-370), First & Second Edition. Cold Spring Harbor Press, NY.
Rusch D.B., Miller J., Krampis K., Tovchigrechko A., Sutton G., Yooseph S. and Nelson K.E. (2014). “Bioinformatics for Genomes and Metagenomes in Ecology Studies”. Book Chapter in Infectious Microecology (pp. 203-226). Springer GmbH & Co, Berlin, Germany.
Goll J.B, Szpakowski S., Krampis K. and Nelson K.E. (2014). “Next-generation sequencing, metagenomes, and the human microbiome”. Book chapter in Bioinformatics and Data Analysis in Microbiology (Chpt. 7). Caister Academic Press, Norfolk, U.K.
Nelson K.E., Madupu R., Szpakowski S., Goll J.B., Krampis K. and Methe B.A. (2014). “Next-generation sequencing, metagenomes, and the human microbiome”. Book chapter in Next-generation Sequencing: Current Technologies and Applications (pp. 141-155). Caister Academic Press, Norfolk, U.K.
Quirino B.F., Barreto C.C., Pappas G.J., Zengler K., Krampis K. and Krüger R.H. (2013). “Genomes and Post-Genome Technology” Book Chapter in Prokaryotes (pp. 329-344). Springer GmbH & Co., Berlin, Germany.
Madupu R., Rogers Yu-H., Rusch D., Miller J., Krampis K. and Nelson K.E. (2012). “Microbiomes”. Book Chapter in Encyclopedia of Molecular Cell Biology and Molecular Medicine. Wiley-VCH Verlag GmbH & Co., Weinheim, Germany.
Miller J., Rusch D., Krampis K., Tovichgrechko A., Sutton G., Yooseph S. and Nelson K.E. (2012). “Bioinformatics for Genomes and Metagenomes in Microbial Ecology Studies”. Book Chapter in Encyclopedia of Molecular Cell Biology and Molecular Medicine. Wiley-VCH Verlag GmbH & Co., Weinheim, Germany.
Tyler B.M., Jiang R.H., Zhou L., Tripathy S., Dou D., Torto-Alalibo T., Li H., Mao Y., Liu B., Vega-Sanchez M., Mideros S.X., Hanlon R., Smith B.M., Krampis K., Ye K., Martin S.S., Dorrance A.E., Hoeschele I. and Sagahi Maroof M.A. (2008). “Functional genomics and bioinformatics of the Phytophthora sojae soybean interaction”. Book Chapter in Genomics of Disease (pp. 67-78). Springer GmbH & Co, NY.

Contact Details

Konstantinos Krampis

Biological Sciences
413 East 69th Street Belfer 403
(212) 896-0461
krampis@genectr.hunter.cuny.edu