Topic: Brain proteins, microglia and lab models
In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html webcite.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Love, M. I., Huber, W. K., & Anders, S. (2014). Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome biology. https://doi.org/10.1186/s13059-014-0550-8
Vancouver
Love MI, Huber WK, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome biology. 2014. doi:10.1186/s13059-014-0550-8. PMID: 25516281.
BibTeX
@article{love2014-25516281,
author = {Love, Michael I. and Huber, Wolfgang K. and Anders, Simon},
title = {{Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2}},
journal = {Genome biology},
year = {2014},
doi = {10.1186/s13059-014-0550-8},
pmid = {25516281},
url = {https://doi.org/10.1186/s13059-014-0550-8}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
Why it matters
Presents DESeq2, a statistical method and software package for finding systematic changes in count data, such as RNA-seq read counts per gene, across experimental conditions. It is a general methods paper, not about Alzheimer's.
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How this study scored 57/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on strength of evidence, so that was left out: it earned 54 of the 95 points we could judge it on, which is 57 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Genome biology) |
| Journal's citation record | 3 / 4 | Genome biology: journal h-index 389 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | — / 5 | No evidence rating recorded — left out of this score |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 1 / 5 | 2014 — within 20 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 7 / 7 | Cited 95,556 times (OpenAlex, 2026-10-10) |
| Citations per year | 5 / 5 | 6,825.4 citations a year over 14 year(s) since 2014 |
| Impact for its field and year | 6 / 6 | Cited 453.2× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 4 / 4 | Cited 40,811 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 2 / 4 | Last-listed author Simon Anders: h-index 47 (OpenAlex, whole career) |
| Institution's track record | 3 / 3 | Harvard University: institution h-index 3,235 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 5 institution(s) in 2 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 25516281) |
| Free to read | 2 / 2 | Free to read |
| Points | 54 / 95 | Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 54 of the 95 points we could judge it on is 57 out of 100. |
| Total | 57 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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