Results for "RNAseq"

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  • Expression profiling of the wheat pathogen Zymoseptoria tritici

    Tags: RNAseq, gene duplication, pathogen, fungi, host adaptation, Wheat

    1370 days ago

  • Roderic Guigó Lab

    Research in our group focuses on the investigation of the signals involved in gene specification in genomic sequences (promoter elements, splice sites, translation initiation sites, etc…). We are interested both in the mechanism of their recognition and processing, and in their evolution. In addi...

    Tags: Bioinformatics, Computational Biology, Genomics, RNAseq, NGS, Chromatin, RNA, Cancer, CRG, Roderic Guigó

    1273 days ago

  • MIT Computational Biology Group

    My research group consists primarily of computer science graduate students and postdocs with expertise in algorithms, statistical inferences and machine learning, and sharing a passion for understanding fundamental biological problems. We work in a highly interdisciplinary environment at the i...

    Tags: Bioinformatics, Computational Biology, Genomics, RNAseq, NGS, Chromatin, RNA, Manolis Kellis, Chromosome, ENCODE

    1165 days ago

  • Zhang Lab

    We develop and use integrative bioinformatics approaches to extract biological meanings from experimental data and generate hypotheses for experimental validation. Please explore our website to learn more about our people and our research. More at http://bioinfo.vanderbilt.edu/zhanglab/

    Tags: Bioinformatics, Computational Biology, Genomics, RNAseq, NGS, omics

    1155 days ago

  • Ryan E. Mills Lab

    Our research group is primarily focused on the analysis of whole genome sequence data to identify genetic variation (primarily structural variation) and examine their potential functional impact in disease phenotypes. We are particularly interested in analyzing complex regions of the genome that ...

    Tags: Bioinformatics, Computational Biology, Genomics, RNAseq, NGS, Chromosome, Ryan E. Mills

    1006 days ago

  • Nicolas Corradi Lab

    The goal of our research is to better understand the biology of microbial organisms of significant ecological, veterinary and medical importance. To achieve this goal, our team combines the power of next generation DNA sequencing and bioinformatics with molecular biology and experimental proced...

    Tags: Bioinformatics, Computational Biology, Genomics, RNAseq, NGS, omics, Comparative Genomics, Parasite, Evolution, Nicolas Corradi

    1006 days ago

  • Raphael Lab

    Raphael Lab research is focused on Bioinformatics and Computational Biology. Current research interests include next-generation DNA sequencing, structural variation, genome rearrangements in cancer and evolution, and network analysis of somatic mutations in cancer. Earlier research included to...

    Tags: Bioinformatics, Computational Biology, Genomics, RNAseq, NGS, Chromosome, Ben Raphael, Brown University

    967 days ago

  • Single Cell RNAseq data analysis tutorial !!

    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, e.g. samples of the same tissue from different ...

    Tags: Single, Cell, RNAseq, analysis, tutorial

    90 days ago

  • RNAseq data analysis links !

    RNA-sequencing (RNA-seq) has a wide variety of applications, but no single analysis pipeline can be used in all cases. We review all of the major steps in RNA-seq data analysis, including experimental design, quality control, read alignment, quantification of gene and transcript levels, visualiza...

    Tags: RNAseq, analysis, links

    90 days ago

  • https://github.com/chapmanb/bcbio-nextgen #NGS #SNP #Variants #RNASeq

    Tags: NGS, SNP, Variants, RNASeq

    1342 days ago