Ian Holmes

• Ian Holmes
  • Contact details
    • Affiliations
    • Online locations
  • Research interests
    • Genome evolution
    • Ancestral sequence reconstruction
    • Genome ecology
    • Computational tools
  • Biographical info
    • Biosketch
    • Publications
    • Computer games
  • Miscellany

Contact details

• Email: ihh berkeley edu
• Skype: ianholmes
• AIM/iChat: dartcoder@mac.com

• Office address: 374C Stanley Hall, UC Berkeley, CA 94720-3220
  • Office phone: (510) 666 - 2790
  • Department: Bioengineering
  • Office hours: Wednesdays (11am-noon) + Fridays (1-2pm)

• Lab address: 381 Stanley Hall, UC Berkeley, CA 94720-3220
  • Lab phone: (510) 666 - 2791

Affiliations

I am on the faculty of the Departments of Bioengineering and Electrical Engineering & Computer Science at UC Berkeley and the Physical Biosciences Division at Lawrence Berkeley Laboratory.

I'm affiliated with the following UC Berkeley/UCSF graduate programs:

• Computational Biology (UCB)
• Bioengineering (UCB/UCSF)
• Biophysics (UCB)
• Computer Science (UCB)

I am on the scientific advisory board of CLC Bio and the board of the Evolutionary Software Foundation.

Online locations

• Social networking sites: FriendFeed (LinkedIn, Facebook, Twitter, Last.fm ...)
• Genome Dynamics, my teaching blog
• Literature references (bibtex repository browser)

Research interests

For a list of current/past members of my group and their interests, please see our lab page.

Short summary:

• Using computers to investigate genomes, their evolution and ecology.
• Developing the statistical bioinformatics tools for this, e.g.
  • phylogenetic alignment;
  • stochastic grammars, string transducers and tree transducers;
  • multiple alignment of RNA;
  • virus and transposon annotation & analysis.
• Developing "Web 2.0" genomics infrastructure, e.g. AJAX genome wikis.
• Synthetic biology, especially RNA engineering and paleo-genetics.

Genome evolution

Computational biology needs realistic, predictive, quantitative models of the how biological sequences --- and systems --- evolve.

My lab develops & applies stochastic process models (e.g. discrete-state continuous-time Markov chains) for the study of molecular evolution.

The dynamics we have modeled include substitutions, insertions and deletions ("indels"), microsatellite dynamics, local duplications, inversions, transpositions, recombinations and rearrangements.

Systems we might consider include sequences, gene families, cis-regulatory networks and chemical signaling pathways.

Ancestral sequence reconstruction

One interest is in paleogenomics: using molecular evolutionary models to make inferences about the origins of life by working backwards from present-era DNA sequences, with the goal of reconstructing those origins in the laboratory synthetically.

Other applications of the models include genefinding, SNP analysis, simulations, and design of combinatorial libraries.

Genome ecology

A related interest is "genome ecology": the (evolutionary) interactions of genomes with their neighbors.

Examples include the bioinformatics of transposon classification, virus phylogenetics & recombination, or the metagenomics of microbial communities.

Computational tools

Understanding and re-engineering genomes (and metagenomes) will require a robust set of computational tools.

We work on infrastructural components and technologies for genome annotation, such as the Gene Ontology or our genome wiki tools.

Computational tools for synthetic biology are also an ongoing interest.

For more info see the front page, the Holmes lab page or the paper archive.

Biographical info

I grew up in Cambridge (UK) and studied physics at the Cavendish Laboratory (TCM group) and genomics at the Sanger Institute (Informatics).

I now work at UC Berkeley and live in East Oakland.

Biosketch

My current NIH biosketch can be found here (MS Word doc)

Publications

A list of my published papers is here

Computer games

Before I went to college, I wrote a couple of computer games:

• Pipeline, co-written with William Reeve, was published in 1989 by Superior Software for the BBC Micro. It rates a mention on the Wikipedia page for Jupiter's moons in fiction. Essentially it was a fast four-way scrolling arcade/puzzle/RPG with a level designer. There's a review here, with a download you can run on an emulator. A PC version, Pipeline Plus, is available from Superior Interactive. In development it was called GuildMaster and I imagined it as a sort of single-player Guild Wars (Wikipedia) .

• Galactic Dan, with graphics by James Davidson, was published in 1992 by Fourth Dimension for Acorn's ill-fated Archimedes. Here's a clip on Youtube. An early, cheap & cheerful first-person shooter/platformer, spiritual descendant of the 3D Monster Maze (Wikipedia) but implemented on a fast RISC chip, it clearly "pales into insignificance" next to Wolfenstein, Doom or Quake (Wikipedia) ; but some people liked it. In retrospect, the tone we were aiming for was something like Duke Nukem (yes, pretty low). Dan re-appears on several compilations, lately Shootup Games Collection from APDL (review). You can find the cheat codes online.

Here are some (mostly retro) games that I've enjoyed over the years:

• Exile: physics, emotion, synthetic biology, Faustian hubris... all in 32,768 bytes
  • The first game with a "complete physics engine", according to Wikipedia, though "complete" is ambiguous
• Core Wars because programming should be Darwinian
  • Not a game I played. But I just love games that are Turing-complete. The Game of Life unit cell is wonderful too
• Elite, The Sentinel and Cholo: atmospheric early 3D. I was the right age to play these
• Shades. Old-school 1980's multiuser dungeon on Prestel. The first mud I ever played
• Interactive poetry and fiction. The classic authors: Graham Nelson (Wikipedia) , Andrew Plotkin, Emily Short. My picks: Violet, Blue Chairs (Wikipedia)
• UniWar (hexalat)

Miscellany

• Older links from this page