Fulcrum Genomics LLC

Fulcrum Genomics LLC is listed as a small business research supplier in the Scientist.com network, with 1 site in 1 country.

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Sites 1

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Type of company: Small business

Biostatistical Design Use statistics to ensure appropriate pre-clinical and clinical study design.
Discovery Bioinformatics Different analytical approaches that make, store, and analyze complex biological data.

Chromatin Interaction Analysis-Paired End Tag Sequencing Sequence DNA using Chromatin Conformation Capture (3C) together with Chromatin Immunoprecipitation (ChIP).
Methylation Analysis Determine genomic methylation patterns and analyze methylation in tumors and treated samples.
Non-Bisulfite DNA Methylation Analysis Analyze DNA methylation by methods such as differential enzymatic cleavage or affinity capture
Sequence Based Methylation Analysis Detect DNA methylation sites within cytosine-phosphate-guanine (CpG) dinucleotides at single base-pair resolution.

Bioinformatics Consulting Consulting Services for the science of collecting and analyzing complex biological data

Database Management Software Facilitate the collection, tracking and processing of biological facts, statistics and observations.

Bayesian Statistics Extract information from data sets that are subject to error or noise to see unobserved possibilities.
Bioinformatics Bioinformatics is a powerful method of storing, retrieving and analyzing biological data.
Cancer Systems Biology Convert complex molecular data obtained from high-throughput technologies to deducible information.
Cloud Computing Request on-demand computer resources specifically relating to large data storage and computing power.
Data and Text Mining Derive structured data from free text in order to become accessible for data-mining algorithms.
Database Integration Convert bioinformatics results from multiple data sources (DSs) into a single operational format.

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Genome Data Analysis Analyze genomic DNA, RNA and protein sequence data.
Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
Metagenomics Data Analysis Deconvolute the genetic content of genomes contained in environmental samples by utilizing whole genome sequencing techniques to provide insight into microbial communities and host phenotypes.
NGS: Next Generation Sequencing Data Analysis Use software to interpret data created by RNA-Seq, DNA-Seq, ChIP-Seq and DNA methylation experiments.

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