NATIONAL CANCER INSTITUTE - CANCER.GOV

Search Results for: consulting

Total Results Found: 22

Total Results Found: 22

NCI LASP Genome Modification Core (GMC)
Frederick, MD

Core Facility

NCI LASP Genome Modification Core (GMC) is a CCR-dedicated facility that provides advice, training, and reagents to NCI scientists seeking to utilize CRISPR and other nucleases to generate genome modifications in primary cells, cell lines, Read More...

CCR Radiation Oncology Branch Bioinformatics Core
Bethesda, Maryland

Collaborative

Radiation Oncology Branch is part of CCR. Bioinformatics core is a collaborative resource to support ROB branch and provide service to ROB investigators from NCI and other Institutes access to new technologies, bioinformatics, statistical analysis Read More...

NCI Genetics Branch: OMICS Technology Facility
Bethesda, MD

Collaborative

Our operational objectives are to provide state-of-the-art OMICS technologies in support of the Genetics Branch (GB) investigators and collaborators. Research Services Wet Lab Single cell isolation from fresh, frozen, and FFPE tissue, DNA/RNA extractions Read More...

NICE-NIH Intramural CryoEM Consortium

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[tabby title="Home"] About NICE-NIH Intramural CryoEM Consortium  NIH Intramural CryoEM Consortium (NICE) serves intramural investigators in all NIH IC’s. NICE provides access to state-of-the-art Titan Krios cryo-electron microscopes for atomic-resolution structure determination of Read More...

May Data Sharing and Reuse Seminar

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Bioinformatics

05/10/2024 - Please join us for the May Data Sharing and Reuse Seminar featuring Dr. Ali Loveys and Fiona Meng from FI Consulting. They will be sharing their presentation on Laying the Foundation for AI-Ready Data. Read More...

BTEP course: Learning objectives

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Bioinformatics

After consulting this guide, participants will Know how to access Partek Flow at NIH. Be able to transfer data from NCI CCR Sequencing Facility Data Management Environment to their Biowulf Partek Flow folder.

Bioinformatics Resources for CCR Scientists: Welcome to the BTEP bioinformatics tools selector guide. Scroll through this guide and click on the triangular tab next to each analysis category to identify software(s) that will help you accomplish your goals.

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Bioinformatics

While many of the tools in these packages are powerful and can perform sophisticated analyses, people unfamiliar with bioinformatics analysis of complex data sets should consider consulting a bioinformatics analyst to ensure the validity of Read More...

Using Google for NCI Research

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Bioinformatics

10/14/2022 - October’s   Containers and Workflow Interest Group (CWIG) webinar series. Presenters: Mike Callaghan, Cloud Customer Experience Account Lead, Google Dave Belardo, Customer Engineer, Google Mike Callaghan, Customer Engineer, Deloitte Consulting   Meeting number ( Read More...

Training & Support

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Confocal

Training We recommend that users become familiar with the principals of fluorescence labeling and optical microscopy before arranging for training. We recommend the following sites for learning about microscopy: Introductions to Fluorescence Microscopy Fluorescence Labeling Read More...

Creating Reproducible Data Science

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Bioinformatics

11/18/2020 - Register RStudio will be planning quarterly webinars to support the HHS Data Science and Statistical Programming communities. The first installment will be focused on Creating Reproducible Data Science. Please join Alex Gold as he Read More...

Creating Reproducible Data Science

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Bioinformatics

11/13/2020 - Register RStudio will be planning quarterly webinars to support the HHS Data Science and Statistical Programming communities. The first installment will be focused on Creating Reproducible Data Science. Please join Alex Gold as he Read More...

BTEP course: Partek Flow at NIH

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Bioinformatics

Accessing Partek Flow at NIH and tips for data transfer Learning objectives After consulting this guide, participants will Know how to access Partek Flow at NIH. Be able to transfer data from NCI CCR Sequencing Read More...

BTEP Coding Club: Statistical Integration

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Bioinformatics

ggpubr allows us to easily incorporate additional information into our plots (e.g., mean, individual case information, etc.). Where this package really shines is its ability to easily include the results of common statistical tests. Read More...