BOL

We are a computational biology lab that develops novel methods for analysis of DNA and RNA sequences. Our research includes software for aligning and assembling RNA-seq data, whole-genome assembly, and microbiome analysis. We work closely with...

A major breakthrough (replaced microarrays) in the late 00’s and has been widely used since Measures the average expression level for each gene across a large population of input cells Useful for comparative transcriptomics,...

www.bx.psu.edu - We describe a new method for predicting the ancestral order and orientation of those intervals from their observed adjacencies in modern species. We combine the results from this method with data from chromosome painting experiments to produce a map...

github.com - Delta is an integrative visualization and analysis platform to facilitate visually annotating and exploring the 3D physical architecture of genomes. Delta takes Hi-C or ChIA-PET contact matrix as input and predicts the topologically...

JOB FUNCTIONBio Tech/R&D/Scientist INDUSTRYBiotechnology/Pharmaceutical/Medicine SPECIALIZATIONBasic Research,Bio-Statistician,Clinical Research QUALIFICATION Any Post Graduate BA (Arts), B.Com. (Commerce), BE/ B.Tech (Engineering),...

http://mgcv.cmbi.ru.nl/ - MGcV is an interactive web-based visalization tool tailored to facilitate small scale genome analysis. To start using MGcV: Supply your genes/genomic segments/phylogenetic tree of interest in the input-box by selecting the type of identifier...

Perl's second wave of adoption came from the growth of the world wide web. Dynamic web pages—the precursor to modern web applications—were easy to create with Perl and CGI. Thanks to Perl's ubiquity as a language for system...

github.com - KAT is a suite of tools that analyse jellyfish hashes or sequence files (fasta or fastq) using kmer counts. The following tools are currently available in KAT: hist: Create an histogram of k-mer occurrences from a sequence file. Adds metadata in...

The Brent Lab is developing and applying computational methods for mapping gene regulation networks, modeling them quantitatively, and engineering new behaviors into them.

github.com - DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data. DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation...