Applied Bioinformatics Core

The Applied Bioinformatics Core provides specialized computational and analytical support for biomedical research. WMC Logo

What We Do

The Applied Bioinformatics Core (ABC) is a central service group that specializes in providing data management and analysis support to large genomic centers and research groups. The objective of the core is to provide analytical capabilities to support and advance biomedical research.
We have ample expertise analyzing biological data from diverse types of experiments including, but not limited to, high-throughput genomic assays.
We have extensive experience in building standardized workflows as well as customized, in-depth analyses with emphasis on thorough quality control and statistical rigor.
We perform detailed computational analyses that are driven by specific biological questions defined by the investigators.
We provide extensive reports with publication-ready images as well as the analysis source code.
The example projects should give you an impression of the most commonly performed analyses - we are by no means limited to them and are happy to tackle new challenges. Please contact us at abc@med.cornell.edu for inquiries.

Transcriptomics

Differential gene expression analysis | Single cell RNA-seq | General RNA biology assays such as CLIP-seq or PRO-seq

Example Projects:

  • Single-cell RNA-seq of in vitro differentiated embryonic stem cells
  • Transcriptome changes induced by deletion of a GTPase

Epigenetics

ChIP-seq | ATAC-seq | Reduced representation bisulfite sequencing (RRBS) or targeted methylation | Whole Genome Bisulfite sequencing

Example Projects:

  • Effects of cancer drugs on chromatin accessibility
  • Whole-genome bisulfite sequencing of neuronal cells

Genomics

Variant calling and annotation | Evolution of viral sequences | Classifications of pathogens

Example Projects:

  • Identification & annotation of genomic variants in different mutants of a rodent parasite
  • Functional annotation of sequence variants in a gene possibly related to a bleeding phenotype

Functional Analyses

GO term enrichments | Gene set enrichments | Pathway Analyses | DNA motifs | Integration of diverse data sets

Example Projects:

  • Understanding cancer-induced transcriptome changes in blood cells
  • Characterizing the effects of inhibitors of chromatin-associated molecules for immune cell functions

Computational Pipelines

Large-scale automation of analysis pipeline | Distribution and management of large datasets | Shiny apps

Example Projects:

  • HIPAA-certified pipeline for the identification of genomic variants in tumor patient samples (for the Institute for Precision Medicine)
  • PubShare data portal for downloading and sharing genomic data
  • Interactive application for storing, visualizing, and analyzing proteomics data

Training and Consulting

Walk-in clinic | Hands-on workshops | Meetings for coding tips exchange

Walk-in Bioinformatics Clinics

Consulting and hands-on help with questions relating to performing bioinformatics tasks
Thursdays, 1:30-3pm in Room LC504 at 1300 York Avenue, NYC

Hands-on Workshops

Regularly held, intensive 12-hours-long courses open to members of the Tri-Institutional network

  • Introduction to R
  • Introduction to UNIX
  • Differential gene expression analysis using RNA-seq

Data Analysis & Bioinformatics User Group (d:bug)

Monthly meetings to foster exchange of coding tips and tricks – open to anyone

Selected Publications

  • Wong KG, Ryan SD, Ramnarine K, Rosen SA, Mann SE, Kulick A, De Stanchina E, Müller FJ, Kacmarczyk TJ, Zhang C, Betel D, Tomishima MJ. (2017) CryoPause: A New Method to Immediately Initiate Experiments after Cryopreservation of Pluripotent Stem Cells. Stem Cell Reports., 9(1):355-365.
  • Chaudhary, N, Gonzalez, E, Chang, SH, Geng, F, Rafii, S, Altorki, NK, & McGraw, TE. (2016) Adenovirus Protein E4-ORF1 Activation of PI3 Kinase Reveals Differential Regulation of Downstream Effector Pathways in Adipocytes. Cell Reports, 17(12).
  • Oren, DA, Wei, Y, Skrabanek, L, Chow, BKC, Mommsen, T, & Mojsov, S. (2016) Structural mapping and functional characterization of zebrafish class B G-protein coupled receptor (GPCR) with dual ligand selectivity towards GLP-1 and glucagon. PLoS ONE, 11(12):e0167718.
  • Bayliss J, Mukherjee P, Lu C, Jain SU, Chung C, Martinez D, Sabari B, Margol AS, Panwalkar P, Parolia A, Pekmezci M, McEachin RC, Cieslik M, Tamrazi B, Garcia BA, La Rocca G, Santi M, Lewis PW, Hawkins C, Melnick A, David Allis C, Thompson CB, Chinnaiyan AM, Judkins AR, Venneti S. (2016) Lowered H3K27me3 and DNA hypomethylation define poorly prognostic pediatric posterior fossa ependymomas. Sci Transl Med., 8(366):366ra161.
  • Palermo LM, Uppal M, Skrabanek L, Zumbo P, Germer S, Toussaint NC, Rima BK, Huey D, Niewiesk S, Porotto M, Moscona A. (2016) Features of Circulating ParainfluenzaVirus Required for Growth in Human Airway. MBio. 7(2):e00235.
  • Webster AF, Zumbo P, Fostel J, Gandara J, Hester SD, Recio L, Williams A, WoodCE, Yauk CL, Mason CE. (2015) Mining the Archives: A Cross-Platform Analysis of Gene Expression Profiles in ArchivalFormalin-Fixed Paraffin-Embedded Tissues. Toxicol Sci. 148(2):460-72.

The Team

Doron Betel
Doron Betel
Core Director

Friederike Dündar
Friederike Dündar
Genomic Scientist

Simon Johnson
Simon Johnson
Bioinformatics Software Engineer

Thadeous Kacmarczyk
Thadeous Kacmarczyk
Bioinformatics Software Engineer

Piali Mukherjee
Piali Mukherjee
Computational Biology Associate

Lucy Skrabanek
Luce Skrabanek
Education and Outreach Coordinator

Paul Zumbo
Paul Zumbo
Senior Staff Associate of Computational Genomics

Get in touch