Chromatin is the natural and optimal state of DNA.
Chromatin Collaborators provides genomics and bioinformatics analysis, research strategy, hands-on training, and curriculum development for universities and scientific teams. We emphasize rigorous, reproducible research and lasting institutional capacity, with a commitment to HBCUs and Hispanic-serving institutions.
Expert analysis. Practical training. Lasting research capacity.
Many people recognize the familiar chromosome shape seen during cell division. Less familiar is chromatin: DNA packaged with proteins. Its organization helps regulate gene expression and enables access for DNA replication and repair. Chromosomes exist throughout the cell cycle, becoming most visibly condensed during mitosis.
That essential, often unseen work inspires our name. We are the research arm working behind the scenes with our collaborators: building analyses, developing scientists, and keeping research moving. Like chromatin, we help create the conditions for everything to function, develop, and advance.
GENOMICSBIOINFORMATICSAI & MACHINE LEARNINGRESEARCH TRAINING
01 / EXPERTISE
Rigorous science. Stronger research capacity.
We work alongside faculty, departments, and trainees as scientific collaborators, building the skills and analytical foundations that carry research forward.
01
Genomics & multi-omics
Connect genetic variation, molecular regulation, and evolutionary context to the mechanisms underlying complex disease.
Explore methods and capabilities
GWAS & post-GWAS analysisPhenotype refinement, ancestry-specific association studies, meta-analysis, linkage disequilibrium, and fine-mapping strategies.
TranscriptomicsRNA-seq analysis, differential expression, cross-study meta-analysis, and pathway interpretation, including substance use disorder research.
Epigenetics & functional interpretationMethylation analysis, regulatory annotation, and gene interaction modeling to develop testable biological hypotheses.
Population & evolutionary genomicsAncestry estimation, comparative genomics, and evolutionary context for interpreting variants and gene function.
Genetic risk & metagenomicsPolygenic risk-score workflows for sequencing and array data, alongside microbial community analysis and interpretation.
Research outputsInterpretable findings, publication-ready figures, and a clear account of the evidence and its limitations.
02
Computational analysis & scientific strategy
Turn a research question into a defensible study design, executable analysis plan, and reproducible computational workflow.
Explore methods and capabilities
Study design & phenotype definitionDefine cases and comparison groups, exclusion criteria, covariates, and ancestry-specific analysis strategies.
Predictive AI/MLFrame prediction tasks, prepare features, plan model evaluation, and interpret results in a biological context.
Reproducible R & PythonDocumented scripts, quality-control checkpoints, containerized workflows, and visualizations that collaborators can inspect and reuse.
Scientific interpretationTranslate results into manuscript figures and methods, analysis narratives, and grant-ready research plans.
Practical deliverablesAn analysis plan, documented code, QC summaries, and results explained for the research team.
03
Training & institutional development
Bring national genomics training leadership into programs that strengthen faculty research, graduate education, and institutional capacity.
100+ scientists and trainees mentoredAcross 10+ institutions, from students and junior researchers to faculty partners.
Explore methods and capabilities
National program leadershipExperience leading the All of Us Researcher Academy, Train-the-Trainer program, and advanced genomics AI/ML initiatives serving 75+ participants.
Hands-on research trainingGenomics, Researcher Workbench analysis, R/Python, and AI/ML taught through applied exercises and real scientific questions.
Graduate curriculum developmentSyllabi, competency maps, applied labs, and assessment plans designed around the skills researchers need.
Train-the-trainer modelsFacilitator preparation, reusable teaching materials, and follow-up support that help institutions sustain training locally.
Faculty & trainee mentorshipScientific coaching through analysis, interpretation, presentations, manuscript development, and proposal planning.
Institutional outcomesResearchers equipped to lead analyses, teach colleagues, and build on the work after an engagement ends.
Partnerships can take the form of a focused research project, workshop series, curriculum review, technical videos, or ongoing institutional support.
02 / SELECTED COMPANY PROJECTS
Partnerships grounded in real scientific questions.
Completed engagements and developing collaborations from our 2026 partner catalog.
METAGENOMICSCompleted
Microbial community analysis
North Carolina Central University
Metagenomic analysis support for an academic research project interpreting complex microbial community data.
Our contribution: Technical consultation, analytical guidance, and research support to translate sequence-derived outputs into usable scientific interpretation.
Delivered: Analytical support and interpretation for a focused microbial community research project.
HUMAN GENOMICSCompleted
Type 2 diabetes nephropathy GWAS
Illustrative Miami plot · simulated data
Morehouse School of Medicine
A case–case association study examining genetic differences between people with type 2 diabetes with and without diabetic kidney disease.
Our contribution: Phenotype refinement, association-analysis strategy, population-genetic considerations, advanced statistical guidance, and interpretation of GWAS outputs.
Delivered: Research support for an HBCU-led case–case GWAS, from phenotype strategy through interpretation.
EPIGENOMICSActive
Gene-to-gene interaction modeling
Morehouse School of Medicine
Epigenomic analysis exploring interpretable gene interaction patterns using statistical and computational biology approaches.
Our contribution: Analytical support to strengthen the foundation for manuscripts, grant proposals, and translational hypotheses.
Current focus: Interpretable interaction patterns and their biological context.
RESEARCH CAPACITYPending partnership
GRADS-4C genomics training
North Carolina A&T State University
A developing partnership focused on genomics education, All of Us Researcher Workbench training, and broader research-capacity development.
Planned focus: Practical research training that builds on an existing relationship with NCA&T.
Project statuses reflect the 2026 partner briefing catalog. Background artwork is conceptual; the Miami plot uses simulated data and does not show project results.
03 / LEARNING
Advanced genomics. Made approachable.
For students, trainees, and researchers who want to move beyond terminology and into practical analysis.
Understand genetic variation, sequencing data, and the relationship between genotype and phenotype. Build the biological and computational vocabulary to frame stronger research questions.
02 Working with genomic data
Practice quality control, data organization, and reproducible R and Python workflows. Learn to inspect data, document analytical decisions, and prepare results for interpretation.
03 Cloud computing for research
Work with cloud-based research environments, including the All of Us Researcher Workbench. Explore compute resources, persistent storage, data access, notebook workflows, and cost-aware analysis planning.
04 Advanced genomics analyses
Explore ancestry-aware GWAS, meta-analysis, linkage disequilibrium, fine-mapping strategies, functional annotation, and polygenic risk scores. Connect association evidence with biological interpretation.
05 Transcriptomics analyses
Work through RNA-seq analysis, sample and expression quality control, normalization, differential expression, pathway enrichment, and cross-study meta-analysis. Consider covariates and batch effects when interpreting expression changes.
06 Epigenomics analyses
Explore DNA methylation quality control, normalization, cell composition and batch effects, differential methylation, and regulatory annotation. Connect epigenomic findings to gene regulation and biological hypotheses.
07 Multi-omics integration
Bring genomic, transcriptomic, and epigenomic evidence together. Explore sample alignment, complementary molecular signals, integration strategies, and the interpretation of convergent or conflicting findings.
08 AI/ML for biological data
Frame prediction questions, prepare features, and evaluate models with attention to data leakage, validation, and interpretability. Understand how machine learning can support a biological research question.
TRAINING THAT FITS YOUR TEAM
Choose the format. Build the right skills.
Focused workshops
For students, trainees, and research teams. Select a topic and tailor the prerequisites and exercises to the audience.
Virtual, in-person, or hybrid
Applied short courses
For researchers ready to work with data. Combine guided analysis, discussion, and practical exercises across multiple sessions.
Prerequisites matched to the topic
Institutional programs
For departments and faculty leaders. Develop curricula, train local facilitators, and extend learning through mentorship.
Scope developed with your institution
UPCOMING WORKSHOP
Genomics Made Easy
Beginner session on precision health research for undergraduate and graduate students. No coding or biology background required.
October 22, 2026 · 12 PM Eastern Hybrid · Virtual and Monroe Hall, Room 305
AGBT Precision Health · 2026Scientific leadership & public speaking
04 / FOUNDER EXPERTISE
Biological perspective. Computational depth.
PhDEcology & Evolutionary Biology University of Colorado Boulder
100+Trainees, faculty, employees, and junior researchers mentored
10+Institutions represented across training and mentorship
$50M+Research programs managed
25+HBCU and Hispanic-serving institution (HSI) collaborations
12+Courses and curricula developed in coding, biostatistics, genomics, advanced research, and data science
Javan Carter, PhD
Founder & CEO, Chromatin Collaborators
High-impact scientist. National genomics leader. A demanding standard for research excellence.
Dr. Carter brings the scientific depth to confront difficult biological questions and the leadership to move ambitious research forward. His publication record includes Science, The American Journal of Human Genetics, and Translational Psychiatry, reflecting work across evolutionary biology, human genomics, and complex disease.
As a co-investigator on a $10M+ All of Us researcher engagement renewal and Deputy Director of the All of Us Data Quality Program at RTI International, he operates where scientific rigor, national-scale coordination, and research infrastructure meet. His leadership spans the Researcher Academy, Train-the-Trainer program, and advanced genomics AI/ML initiatives.
His technical range connects transcriptomics, epigenetics, population genetics, functional annotation, advanced biostatistics, and predictive machine learning. He brings that range to study design, reproducible analysis, biological interpretation, and the manuscripts and proposals that move a scientific program forward.
He has trained and mentored 100+ scientists and trainees across 10+ institutions, with academic and training experience spanning North Carolina A&T, Morehouse School of Medicine, Howard, Meharry, and North Carolina Central University. His recognition includes an RTI Presidential Award and a Next Generation Leadership Award at AGBT Precision Health.
Chromatin Collaborators brings that caliber of scientific leadership directly to its partnerships: ambitious questions, exacting analysis, and sustained investment in the people doing the science.
High-impact publicationsNational research leadershipAdvanced genomics & AI/MLScientific capacity building
BROADER SCIENTIFIC & TRAINING EXPERIENCE
Research leadership that informs every partnership.
Selected experience from Dr. Carter’s wider professional work.
All of Us research & data quality
Leadership in researcher engagement and program-level data quality, including research coaching, genomics education, and guidance on reproducible analysis in the Researcher Workbench.
National training programs
Leadership across the All of Us Researcher Academy, Train-the-Trainer program, and advanced genomics AI/ML initiatives. Training combines hands-on analysis with mentorship so participants can apply new skills to their own research.
Early Check type 1 diabetes risk
Bioinformatics leadership for a statewide newborn-screening research project using whole-genome sequencing and array data to calculate genetic risk scores, supported by ancestry analysis and reproducible workflows. The type 1 diabetes risk-score study was published in The American Journal of Human Genetics. The logo above links to a separate Nature Medicine publication from the wider Early Check program.
Substance use disorder transcriptomics
Transcriptomic meta-analysis investigating gene-expression patterns in substance use disorder, with findings published in Translational Psychiatry. The broader research focus connects evolutionary genomics, complex disease, and computational approaches to biological interpretation.
05 / LET’S COLLABORATE
What question are you working on?
Tell us about your research, analytical challenge, or training goals. Email us directly or submit a detailed inquiry below. For a consultation, include your preferred meeting times.
