☢ Welcome to Li Tai Fang's Rudimentary Home Server! ☣



There you are wrong. The graveyards are full of middling swordsmen. Best not to be a swordsman at all than a middling swordsman.
-- a young Augustus in HBO's Rome



Places to go:

Photo Gallery, last updated 4/10/2021

My Scientific Publications

A Collection of Jokes

I was the lead developer of SomaticSeq at Bina Technologies (acquired by Roche). SomaticSeq a machine learning algorithm to detect somatic mutations in cancer sequencing. SomaticSeq has placed Bina No. 1 in INDEL and No. 2 in SNV in the Stage 5 of the ICGC-TCGA DREAM Somatic Mutation Calling Challenge. Our paper describing the method was an Editor's pick in Genome Biology (2015).

At Roche, I led the project to establish the somatic mutation reference data and call sets for the pair of tumor-normal reference samples established by the FDA-led SEQC2 Consortium. This work was published in Nature Biotechnology (2021) / (SharedIt) along with the SEQC2 Collection on Nature Biotechnology by the Consortium. These resources can be used to train machine learning classifers (e.g., Sahraeian SME et al. bioRxiv 2019) or evaluate existing algorithms and pipelines (e.g., Xiao W et al. Nat Biotechnol 2021). There is also a commentary by FDA's acting commissioner Dr. Janet Woodcock.


A quick 8-minute video explaining SomaticSeq



Fang LT, et al. Genome Biol (2015)
Establishing reference samples and call sets for cancer mutation detection using whole-genome sequencing
1st place presentation award at the 2021 MCBIOS & MAQC Annual Meeting
Somatic Mutation Working Group of the SEQC2 Consortium



Fang LT, et al. Nat Biotechnol (2021) / SharedIt

This is my resume.

ORCID iD iconMy ORCID iD

My Web Pages Elsewhere:

I maintain two identical mirrors in two different locations:
  (1) My refurbished desktop with Duo Core AMD A4-5300B with 16GB RAM re-purposed as a low-end home server,
  (2) the UCLA Chemistry Department's server that I have user access to.

My Google Scholar Profile

My Cal Alumni Page


Email me!

My home server is powered by Apache2 HTTP Server, running on 64-bit Ubuntu Linux Server Edition 20.04.
My home network is routed through a ASUS RT-N66R, with its factory firmware replaced by DD-WRT.
However, my Linux Server is physically attached to another ASUS RT-N66R, also with DD-WRT, set up as a Wireless Repeater Bridge.
If your feel this page loads too slowly, blame my local internet infrastructure. I only have a measly 1.5 Mbps upload speed! I don't get fiber optics here!