今天猫哥在Pubmed中检索了2020年所有的生信分析SCI，迄今已经发现1277篇生信SCI，其中1110篇纯生信，剩下的167包含部分实验的验证。
不是说生信分析很难发SCI了吗？这似乎也不少啊！
咱们来八一八。
首先生信SCI，拒稿率高是事实，随便画个热图、火山图、PPI网络、生存分析的人越来越多，傻瓜式网站也多，但不足非常显著：
①数据选择不合理；②数据量小；③分析思路单一；④作图粗糙千篇一律
不过水涨船高，多层次、大数据量、新热点的，难度较高的生信SCI也更多了。
猫哥给大家分析了一下其中 影响因子>3分纯生信文章的统计结果。
对2020接收量＞10篇的标准对杂志（>3分）统计，如果按照接受数量排序，Front Oncol（4.1分）、J Cancer（3.2分）、J Cell Biochem（3.4分）、Front Genet（3.5分）、Aging (Albany NY)（5.5分）、J Cell Physiol（4.5分），如下：
生信友好期刊统计 | 2020接收量 | |
Front Oncol | 31 | 4.1 |
J Cancer | 31 | 3.2 |
J Cell Biochem | 31 | 3.4 |
Front Genet | 30 | 3.5 |
28 | 5.5 | |
J Cell Physiol | 23 | 4.5 |
Sci Rep | 21 | 4.0 |
20 | 6.2 | |
J Cell Mol Med | 20 | 4.7 |
Cancer Med | 18 | 3.4 |
J Transl Med | 16 | 4.1 |
Cancer Cell Int | 13 | 3.4 |
Int Immunopharmacol | 10 | 3.4 |
Bioinformatics | 9 | 4.5 |
Nat Commun | 9 | 11.9 |
Int J Cancer | 8 | 5.0 |
Oncol Rep | 8 | 3.0 |
Biomed Pharmacother | 7 | 3.7 |
Cells | 7 | 5.7 |
Nucleic Acids Res | 7 | 11.1 |
Onco Targets Ther | 7 | 3.0 |
Int J Mol Sci | 6 | 4.2 |
如果按照影响因子IF大小排序，如下
生信友好期刊统计 | 2020接收量 | |
Nat Commun | 11.9 | 9 |
Nucleic Acids Res | 11.1 | 7 |
Clin Cancer Res | 8.9 | 5 |
6.2 | 20 | |
Cells | 5.7 | 7 |
5.5 | 28 | |
Front Bioeng Biotechnol | 5.1 | 5 |
Int J Cancer | 5.0 | 8 |
Cancer Immuno Immunother | 4.9 | 5 |
J Cell Mol Med | 4.7 | 20 |
Bioinformatics | 4.5 | 9 |
J Cell Physiol | 4.5 | 23 |
Gynecol Oncol | 4.4 | 5 |
Int J Mol Sci | 4.2 | 6 |
Front Oncol | 4.1 | 31 |
J Transl Med | 4.1 | 16 |
Sci Rep | 4.0 | 21 |
Biomed Pharmacother | 3.7 | 7 |
Front Genet | 3.5 | 30 |
Cancer Cell Int | 3.4 | 13 |
J Cell Biochem | 3.4 | 31 |
Int Immunopharmacol | 3.4 | 10 |
Cancer Med | 3.4 | 18 |
Genes (Basel) | 3.3 | 5 |
J Cancer | 3.2 | 31 |
Genomics | 3.2 | 5 |
Onco Targets Ther | 3.0 | 7 |
Oncol Rep | 3.0 | 8 |
BMC Cancer | 2.9 | 9 |
DNA Cell Biol | 2.9 | 10 |
Cancer Biomark | 2.9 | 12 |
PLoS One | 2.8 | 10 |
Dis Markers | 2.8 | 5 |
Gene | 2.6 | 7 |
BMC Med Genomics | 2.6 | 11 |
Biosci Rep | 2.5 | 13 |
BMC Bioinformatics | 2.5 | 6 |
Mol Genet Genomic Med | 2.4 | 6 |
Clin Transl Oncol | 2.4 | 5 |
Pathol Oncol Res | 2.4 | 5 |
PeerJ | 2.4 | 30 |
Cancer Manag Res | 2.2 | 11 |
Biomed Res Int | 2.2 | 19 |
Med Sci Monit | 2.0 | 19 |
其中大于5分的杂志里Cancers (Basel)、Aging (Albany NY)对纯生信类的文章最为友好的，好中一些。
文章名字 | 期刊 |
A 15-gene immune, stromal and proliferation gene signature that significantly associates with poor survival in patients with pancreatic ductal adenocarcinoma. | Clin Cancer Res |
Adenosine SignalingIs Prognostic for Cancer Outcome and Has Predictive Utility for Immunotherapeutic Response. | |
Altered Gene Expression along the Glycolysis-Cholesterol SynthesisAxis Is Associated with Outcome in Pancreatic Cancer. | |
Computational staining of pathology imagesto study the tumor microenvironment in lung cancer. | Cancer Res |
Comprehensive characterization of the rRNA metabolism-related genes in human cancer. | Oncogene |
Pan-Cancer Analysis of Mitochondria Chaperone-ClientCo-Expression Reveals Chaperone Functional Partitioning. | |
Pan-Cancer Analysis of Radiotherapy Benefits and Immune Infiltrationin Multiple Human Cancers. | |
Integrated Analysis of RNA-Binding Proteinsin Glioma. | |
Cancer Stem Cell Marker DCLK1 Correlates with Tumorigenic Immune Infiltratesin the Colon and Gastric Adenocarcinoma Microenvironments. | |
Survival-Associated Metabolic Genesin Human Papillomavirus-Positive Head and Neck Cancers. | |
Ex Vivo Organoid Cultures Reveal the Importance of the Tumor Microenvironmentfor Maintenance of Colorectal Cancer Stem Cells. | |
Glioma Grading via Analysis of Digital Pathology Images Using Machine Learning. | |
SST gene hypermethylation acts as a pan-cancer marker for pancreatic ductal adenocarcinoma and multiple other tumors: toward its use for blood-based diagnosis. | Mol Oncol |
Analysis of DNA methylation patterns in the tumor immune microenvironmentof metastatic melanoma. | |
Improved prognostication of glioblastoma beyond molecular subtyping by tranional profiling of the tumor microenvironment. | |
Low expression of pro-apoptotic proteins Bax, Bak and Smacindicates prolonged progression-free survival in chemotherapy-treated metastatic melanoma. | Cell Death Dis |
Oncogene-dependent function of BRG1 in hepatocarcinogenesis. | |
Epigenetic Alterations Associated with the Overall Survival and Recurrence Free Survival among Oral Squamous Cell Carcinoma Patients. | J Clin Med |
FOXA1 Gene Expression for Defining Molecular Subtypes of Muscle-Invasive Bladder Cancer after Radical Cystectomy. | |
Opposite Roles of BAP1 in Overall Survival of Uveal Melanoma and Cutaneous Melanoma. | |
The G Protein-Coupled Estrogen Receptor (GPER) Expression Correlates with Pro-Metastatic Pathways inER-Negative Breast Cancer: A Bioinformatics Analysis. | Cells |
Computational Detection of Breast Cancer Invasiveness with DNA Methylation Biomarkers. | |
Tumor Infiltrating Neutrophils Are Enriched in Basal-Type Urothelial Bladder Cancer. | |
Development of prognostic index based on autophagy-related genes analysis in breast cancer. | |
Prognostic value of a hypoxia-related microRNA signature in patients with colorectal cancer. | |
Development and validation of aRNA binding protein-associated prognostic model for lung adenocarcinoma. | |
Immunological analyses reveal an immune subtypeof uveal melanoma with a poor prognosis. | |
Analysis of immune-relatedsignatures of lung adenocarcinoma identified two distinct subtypes: implications for immune checkpoint blockade therapy. | |
Methylome and tranome analyses reveal insights into the epigenetic basis for the good survival of hypomethylated ER-positive breast cancer subtype. | Clin Epigenetics |
A DNA methylation signature to improve survival prediction of gastric cancer. |
可见高分生信SCI模式分为以下几类：
1．泛癌研究：多肿瘤组合分析，找共享基因；
2．单疾病的多组学（转录组ATAC-seq）联合分析；
3．肿瘤类免疫浸润分析价值分子；
4．转录因子-lncRNA在肿瘤发生中的分析：
5．代谢通路在肿瘤发病中的大数据挖掘；
6．RBP蛋白、DNA甲基化、自噬等热点在肿瘤中的分析；
等等
