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HTML |
2 |
script for RNA-seq and Chip-seq |
Apr 17, 2021 |
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Python |
5 |
Milne Lab ChIP-seq, ATAC-seq and RNA-seq pipeline |
Mar 31, 2023 |
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R |
6 |
One liner analyses and visualizations for bulk RNA-seq and ChIP-seq data |
Aug 10, 2022 |
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HTML |
10 |
Self-guided educational workshop for ChIP-Seq and RNA-Seq |
Sep 19, 2022 |
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HTML |
2 |
Materials for 12-day course on analyzing RNA-Seq, ChIP-Seq and variant calling data. |
Aug 01, 2020 |
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Python |
2 |
Framework for integrated analysis and plotting of ChIP/RIP/RNA/*-seq data |
Nov 01, 2013 |
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Python |
83 |
Framework for integrated analysis and plotting of ChIP/RIP/RNA/*-seq data |
Mar 07, 2023 |
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Shell |
5 |
Versatile "quick'n'dirty" mapper for genome-wide assays (e.g. ChIP-seq, ATAC-seq, RNA-seq, ...) |
Jan 31, 2023 |
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Shell |
3 |
ChiP-seq and DNase-seq ,Bulk RNA-seq,scRNA-seq processing pipeline via R and shell |
Jun 07, 2022 |
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Python |
3 |
This repository hosts an automated NGS data analysis (RNA-seq and ChIP-seq) pipeline created using Snakemake. |
Jan 23, 2023 |
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R |
2 |
Interpretation of RNA-seq data |
Apr 04, 2022 |
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Perl |
5 |
UROBORUS: circular RNA identification from RNA-Seq data |
Jun 16, 2020 |
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Python |
19 |
Robust, tested workflows for RNA-seq, ChIP-seq and other high-throughput sequencing analysis |
Apr 10, 2023 |
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Python |
6 |
Curare - A customizable and reproducible analysis pipeline for RNA-Seq experiments |
Mar 06, 2023 |
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Jupyter Notebook |
2 |
Single nuclei RNA-seq oxytocin data |
Mar 05, 2022 |
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HTML |
2 |
Cluster single cell RNA-seq data |
Sep 30, 2020 |
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CSS |
20 |
Workshop • Analysis of RNA-seq data |
Jul 18, 2022 |
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Python |
3 |
Find circRNAs in RNA-seq data. |
Feb 02, 2022 |
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Python |
12 |
Find circRNAs in RNA-seq data. |
Jul 12, 2022 |
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Shell |
3 |
Scripts to analyze ChIP-seq data |
Apr 04, 2022 |
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C# |
6 |
Software for RNA-Seq analysis to create sample-specific proteoform databases from RNA-Seq data |
Mar 02, 2022 |
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Jupyter Notebook |
3 |
Analysis of RNA-seq recompute expression data |
Aug 24, 2017 |
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Jupyter Notebook |
84 |
scDeepCluster for Single Cell RNA-seq data |
Apr 18, 2023 |
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Python |
2 |
Pipeline for investigating RNA structure-Seq data |
May 15, 2021 |
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C |
1305 |
RNA-seq aligner |
Aug 17, 2022 |
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Python |
3 |
RNA-Seq pipeline |
May 04, 2021 |
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Shell |
3 |
RNA-seq analyses. |
May 16, 2022 |
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R |
18 |
RNA-seq analysis |
Sep 21, 2022 |
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C |
3 |
RNA-seq aligner |
Jul 20, 2020 |
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C++ |
8 |
RNA-Seq sampling |
Mar 13, 2023 |
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Python |
5 |
Pipeline for Analysis of ChIP-Seq data |
Jul 16, 2022 |
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R |
3 |
Analysis of differential RNA splicing from RNA-seq time series data |
May 10, 2017 |
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R |
3 |
Experiment Data Package for TCGA processed RNA-Seq data |
Dec 10, 2020 |
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Python |
119 |
Automated and customizable preprocessing of Next-Generation Sequencing data, including full (sc)ATAC-seq, ChIP-seq, and (sc)RNA-seq workflows. … |
Mar 10, 2023 |
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Python |
2 |
A set of scripts for looking piRNA guide-target pairs by integrating small RNA-seq and degradome-seq … |
Nov 05, 2020 |
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Python |
4 |
Single-cell RNA-seq data analysis and visualization |
Jun 12, 2022 |
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R |
6 |
Preprocessing, analyzing, and reporting of RNA-seq data |
Aug 08, 2022 |
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TeX |
2 |
Analysis of single cell RNA-seq data course |
Sep 25, 2019 |
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Python |
2 |
Analysis of melanoma signatures from RNA seq data |
Oct 23, 2020 |
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R |
31 |
Estimation of Promoter Activity from RNA-Seq data |
Jul 23, 2022 |
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Python |
32 |
Detection of m6A from direct RNA-Seq data |
Jun 06, 2022 |
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Jupyter Notebook |
2 |
Doublet detection in single-cell RNA-seq data. |
May 19, 2020 |
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None |
27 |
Detect doublets in single-cell RNA-seq data |
Apr 05, 2023 |
|
TeX |
49 |
Analysis of single cell RNA-seq data course |
Apr 23, 2023 |
|
C |
197 |
TCR and BCR assembly from RNA-seq data |
May 13, 2023 |
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Python |
36 |
Dimensionality reduction for single cell RNA-seq data |
Dec 09, 2022 |
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Python |
64 |
RNA modifications detection from Nanopore dRNA-Seq data |
Apr 26, 2023 |
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Python |
3 |
Doublet detection in single-cell RNA-seq data. |
Aug 22, 2018 |
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Python |
14 |
Scaffolding of genomic assemblies with RNA seq data |
May 28, 2020 |
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R |
2 |
RNA-Seq: Data Readiness for Machine Learning Applications |
Jun 27, 2023 |