A recurring challenge in interpreting genomic data is the assessment of results in the context of existing reference databases. Currently, there is no tool implementing automated, easy programmatic access to curated reference information stored in a diverse collection of large, ...
Read More »TCGA2BED – extracting, extending, integrating, and querying The Cancer Genome Atlas
Data extraction and integration methods are becoming essential to effectively access and take advantage of the huge amounts of heterogeneous genomics and clinical data increasingly available. In this work, we focus on The Cancer Genome Atlas, a comprehensive archive of ...
Read More »The choice of a gene model has a dramatic effect on both gene quantification and differential analysis
RNA-Seq has become increasingly popular in transcriptome profiling. One aspect of transcriptome research is to quantify the expression levels of genomic elements, such as genes, their transcripts and exons. Acquiring a transcriptome expression profile requires genomic elements to be defined ...
Read More »Empowered by Maverix, Biologist Uses RNA-seq to Understand Autism
In Nathaniel Heintz’s molecular biology lab at Rockefeller University, scientists study brain function and dysfunction under a wide array of conditions, from drug abuse to depression. Marian Mellén, a postdoctoral fellow in the lab, is using RNA-seq and other data ...
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