☢ 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:

My Scientific Publications

Photo Gallery, last updated 4/10/2021

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 high-confidence somatic mutation data and call sets for the pair of tumor-normal reference samples established by the FDA-led MAQC-IV/SEQC2 Consortium. This work was published in Fang LT et al. Nat Biotechnol 2021 / PMID:34504347 / SharedIt Link along with the SEQC2 Collection on Nature Biotechnology. The collection includes a commentary of the SEQC2 Consortium by FDA's then acting commissioner Dr. Janet Woodcock. The following are some of the use cases for this work:

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) / PubMed / SharedIt

This is my resume.

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.

Google Scholar Profile / ORCID iD iconORCID iD

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!