WebEnthusiastic graduate in Biochemistry, as well as in Bioinformatics master, willing to develop a successful and dedicated work life, allowing me to apply my knowledge in chemistry, bioinformatics and molecular biology. I gather many experiences as a scientist with internships in different companies, including foreign ones with their advances in English - …
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WebApr 13, 2016 · This thesis focuses on the statistical analysis of Chromatin immunoprecipitation sequencing (ChIP-Seq) data produced by Next Generation Sequencing (NGS). ChIP-Seq is a method to investigate interactions between protein and DNA. Specifically, the method aims to identify the binding sites of a particular protein of … WebWhile ChIP-exo and ChIP-seq showed substantial overlap in their binding locations, high resolution of binding reveals the homotypic clusters of GATA1 and TAL1 binding locations and the precise positional organization within the protein complex, which cannot be detected using ChIP-seq. linnankatu 14 turku
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WebIn order to check the differential binding for these SEs between the two conditions, I have parsed these sample-wise bedfiles as chip-seq peaks to the DiffBind along with their bam file using a sample-sheet and given command. 2cond_K27Ac_SE.csv has the following info: SampleID Condition bamReads ControlID bamControl Peaks PeakCaller Program is run by calling ROSE_main.py From within root directory: python mapEnhancerFromFactor.py -g GENOME_BUILD -i INPUT_CONSTITUENT_GFF -r RANKING_BAM -o OUTPUT_DIRECTORY [optional: -s STITCHING_DISTANCE -t TSS_EXCLUSION_ZONE_SIZE -c CONTROL_BAM] Required … See more ROSE_main.py will: 1. format output directory hierarchy 1.1. Root name of input .gff ([input_enhancer_list].gff) used as naming root for output files. 2. stitch enhancer constituents … See more All file names begin with the root of INPUT_CONSTITUENT_GFF 1. .gff: copied .gff file of INPUT_CONSTITUENT_GFF (chrom, name, [blank], start, end, [blank], [blank], strand, [blank], [blank], name) 2. STITCHED.gff: … See more WebNov 22, 2016 · Introduction. ChIP-seq is a powerful and commonly used technique for the detection of transcription factor binding patterns and histone post-translational modification (PTM) occupancy profiles across the entire genome [].ChIP-seq data in many different cell types and contexts have been used to generate genome-wide chromatin modification … linnan