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The Biostatistics and Bioinformatics Shared Resource


The Biostatistics Shared Resource is excited to start using an online system to streamline the process of ordering and billing for core service requests. All facility users are invited to use the system, which requires a one-time registration, for more information go to https://www.yalecancercenter.org/research/resources/ilab/ Once you are registered, the system will enable you to request consultations, provide required approvals, and monitor progress.



Please note: as of March 26, 2020

Following university and school recommendations, our BSR biostatisticians have been working from home. We understand that, during this hard time, most if not all cancer research is still ongoing. As such, we will continue providing strong and timely analytic support.

  • If you have been working with a statistician, please continue and communicate via email, skype, and phone.
  • If you start a new project and do not have a collaborating statistician, please send a request to Dr. Steven Ma (Shuangge.ma@yale.edu).
  • We have moved our biostatistics/bioinformatics office hour to zoom. Support will be provided at the regular time by the same biostatisticians.
Thursdays, 9am – 1pm: Dr. Gang Peng
Meeting ID: 942 3092 9570

Fridays, 1pm – 3pm: Dr. Wei Wei
Meeting ID: 956 0957 3652

Fridays, 3pm – 5pm: Dr. Yong Kong
Meeting ID: 929 0098 7488

We thank you for your support.


The Biostatistics and Bioinformatics Shared Resource for Yale Cancer Center is a highly interactive team of cancer biostatisticians who work collaboratively with basic, clinical, translational and population science researchers to advance the frontiers of cancer medicine and public health. The team works in conjunction with the Yale Center for Analytical Sciences (YCAS) and provides for the biostatistical needs of the entire YCC.

The services encompass biostatistics support to YCC members on study designs, analysis, and grant and manuscript preparations. We aim to provide high-quality, cutting-edge and custom data analyses, as well as consultation and training/education for high throughput genomics, transcriptomics, proteomics, and other high-throughput data sets.

The best mechanism for engaging the The Biostatistics and Bioinformatics Shared Resource is through percent effort inclusion on grants. Absent this, there are limitations on the number of hours that can be dedicated to any individual project. The following guidelines will be used to prioritize and to ensure fair utilization by the entire research community at YCC.

Services

  • Array-based platforms, including genotyping arrays, gene expression arrays, copy number arrays, methylation arrays, and ChIP-on-chip arrays.
  • Analysis of next-generation sequencing data, including:
  1. DNA-sequencing analysis, such as single nucleotide variations, indels, copy number variations, translocations and inversions from whole-exome and whole-genome DNA sequencing (DNA-seq)
  2. Gene expression, splice variants, gene-set, and pathway analysis from RNA sequencing (RNA-seq)
  3. microRNA expression from microRNA sequencing (miRNA-seq)
  4. DNA methylation and differential methylation identification from methylation sequencing (methyl-seq)
  5. Transcription factor binding sites and chromatin modifications from ChIP sequencing (ChIP-seq)
  6. RNA binding sites identification from CLIP sequencing (CLIP-seq)
  • Proteomics data anyalsis
  • Data annotation, visualization, and database integration
  • User training in bioinformatics software and tools

Basic Science Support

Support of basic science (with priorities TBD) will include the following:

  • Experimental Design
  • Power calculations
  • Development of randomization schemes
  • Basic analysis (e.g.; chi-square, t-test, regression, ANOVA)
  • Graph generation
  • Statistical protocol development
  • Office hours
  • Analytic and research and design clinics (to workshop ideas)

Clinical Studies Support

The following represents the priorities identified by YCC leadership:

  • Investigator initiated clinical research trials with translational component
  • Investigator initiated clinical trials
  • Prospective IRB-approved translational trials in a protocol setting
  • Cooperative group multi-center trials
  • Industry sponsored trials
  • Retrospective studies (laboratory based or otherwise) with clinical correlations

Population Science Support

The following represents the level of biostatistical support for population science:

  • Study design, including sample size/power calculations and analytic plan
  • Development of randomization schemes
  • Analysis
  • Grant and manuscript preparation

Data Management Support

In addition to the support outlined above, support for data management for basic, clinical, translational and population science will be available on a fee for service basis.

Drop-in Consultation Service

Location: WWW 213

Biostatistics

Dr. Wei Wei

Fridays – 1pm-3pm

Bioinformatics

Thursday - Dr. Gang Peng 9am-12pm

Fridays – Dr. Yong Kong 3pm-5pm

You are welcome (and encouraged!) to bring your biostatistics questions for discussion. Our statisticians will try to discuss with you and answer questions on site, in which case, the service will be free to you. For complex questions that take more time, we will work on them afterwards. Dr. Wei Wei, an experienced statistician with special expertise in clinical trial design and analysis and general analytics, provides on-site biostatistics support. Drs. Yong Kong and Gang Pen, both with extensive experience in the analysis of genetic, genomic, proteomic, and epigenetic data, provide bioinformatics support.

For comments and suggestions on how to better support your studies, please do not hesitate to email Dr. Steven (Shuangge) Ma.

Grand Rounds Presentation

Dr. Shuangge (Steven) Ma presents on the Biostatistics Shared Resource during the April 23, 2019 Yale Cancer Center Grand Rounds.