组学教程
转录组
宏基因组
泛基因组
宏转录组
扩增子
表观组
全基因组(WGS)
全基因组关联分析(GWAS)
基因组组装
单细胞
空间转录组
宏病毒组
代谢组
蛋白组
TCGA数据挖掘
上游数据处理
比对软件
组装软件
bam文件
vcf文件
bed文件
生信工具
组学绘图
转录组绘图
微生物绘图
单细胞绘图
资源导航
正在研究
关于我
搜索
登录
Literature
同步
16s
A_needRead
alignment
b_bulkRNA-seq
alternative splicing
assembly
bulkRNA-seq article
review
b_scRNA-seq
cell type annotation
cell-cell communication
immune cell
integration
regulatory information
scRNASeq-method
seurat
trajectory inference
book
Epigenetic
WGBS
lncRNA
machine learning
biology
Dimensionality reduction for biology
metagenomic
assembly
binning
db
Kraken
MetaPhlAn
Pathogen
zh
miRNA
mNGS
other
a_mendely
databases
immune
Macrophages
mutation
ncRNA
reading
report
temp
amplicon
course
metabolomics
method
microorganism
Prognostic Model
project
Quantification
16S
RNA-seq
technique
batch
Cell Type Enrichment
cluster
correlation
DEG
enrichment
regression
Transcriptomics Metabolomics
tools
wes
deep learning
bigdata
Untitled
diet
A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis
YISRW3WB
111
Differential Expression Analysis for RNA-Seq: An Overview of Statistical Methods and Computational Software
Z762DRIR
111
Differential expression analysis for sequence count data
3WRV5GAR
111
Differential gene expression analysis in blood of first episode psychosis patients
8KU95N2B
111
edgeR: differential analysis of sequence read count data User's Guide
8BM66XY2
111
limma powers differential expression analyses for RNA-sequencing and microarray studies
EY5MJ775
111
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
PPMBUHKE
111
Negative binomial additive model for RNA-Seq data analysis
3UQZB5WD
111