SBM Lab

시스템 생물학 & 바이오인포매틱스 블로그. 프로테오믹스, 바이오마커, 건강과학에 대한 연구 기반 콘텐츠를 제공합니다.

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STRING Confidence Score and Hub Proteins, Measured: What 0.4 vs 0.7 Changes and Whether Hubs Are Biology or Attention (STRING 12.5)

Measured on STRING 12.5: 37% of links at the default 0.4 cut-off need text mining, the top hub at 0.4 has 17 papers, and random protein lists look significantly connected 20/20 times.

10/19

DIA-NN Quantification Modes Scored on Known Ratios: QuantUMS, Legacy MaxLFQ and Fragment-Level Re-Quantification, With and Without MBR

One set of DIA-NN 2.3.2 identifications, seven ways to turn it into protein quantities, scored against known ratios. Without MBR the MaxLFQ-type routes land within about 4 points of each other. With MBR, the strongly changed proteins MBR adds are compressed: QuantUMS handles them best, and re-quantifying them from raw fragments is much worse.

10/17

Proteomics CV: What Replicate CVs Look Like in MaxQuant, FragPipe and DIA-NN (Measured on a Known-Ratio Benchmark)

Median replicate CV on the same public benchmark: DIA-NN 4.5%, MaxQuant LFQ 8.1%, FragPipe 10.1%, and 20.9% for MaxQuant's raw Intensity column. Why the number depends on the column, on which proteins survive, and on abundance, and whether a low CV means a correct ratio.

10/16

Best Bioinformatics Tools in 2026, Installed and Timed: What I Actually Ran This Month

Not a list of names: the proteomics, RNA-seq and single-cell tools I installed and ran on public data in October 2026, with versions, run times, the install traps I hit, and licences.

10/14

Proteomics vs Genomics: How Much Does mRNA Tell You About Protein? Measured in 29 Human Tissues

The practical difference between genomics and proteomics, measured: in paired mRNA and protein data from 29 healthy human tissues, mRNA explained about 29% of the variation in protein levels, and a gene's mRNA and protein tracked each other across tissues only weakly (median Spearman 0.35).

10/14

Biomarker Discovery and Data Leakage: Shuffled Labels Still Scored AUC 0.75 on a Real CSF Proteome

On a public CSF proteomics cohort, I shuffled the disease labels so no real signal remained. Picking proteins before cross-validation still gave a mean AUC of 0.73 (up to 0.84), and up to 0.88 on 'external' cohorts. Doing it properly gave 0.5.

10/13