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Tools for SNP Visualization

作者: gene_x

概要:

For SNP visualization in Python, we can consider using the following p

RNAseq processing (1457)

作者: gene_x

概要:

1. construct DESeqDataSet from Matrix

library("AnnotationDbi")
li

Exploring Integrative Analysis of Multi-Omics Data from Public Repositories

作者: gene_x

概要:

1. Integration and analysis of multi-omics data: Explore the integrati

Defining and Categorizing Promoter Types Based on the 'GRGGC' Motif Frequency and Distance to TSS

作者: gene_x

概要:

1. generate_promter_sequences

#!/usr/bin/env python3
#./1_generat

Antibodies and cell lines that are commonly used in research

作者: gene_x

概要:

>http://genome.ucsc.edu/cgi-bin/hgTrackUi?db=hg19&g=wgEncodeBroadHisto

Identifying the Nearest Genomic Peaks within Defined Regions

作者: gene_x

概要:

To find the closest peaks in the genome regions defined by a bed file,

LiftOver: An Essential Utility for the Conversion of Genomic Coordinates

作者: gene_x

概要:

If you have genomic coordinates (like gene positions, SNP positions et

Analysis of Peak Distribution in Promoters

作者: gene_x

概要:

import pprint
import argparse
import matplotlib.pyplot as plt
impo

Clustering of Promoter Types Based on Motif Frequency and Distribution

作者: gene_x

概要:

To implement the clustering of promoter types based on motif frequency

Snakefile

作者: gene_x

概要:

import os

#######################################################

gene_x

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