Kin Fai Au

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Professional Summary

Kin Fai Au is an assistant Professor in Department of Internal Medicine, University of Iowa. I received my B.S degree in Biological Sciences from Tsinghua University (Beijing). I received my doctorate degree on Structural Biology, Oxford University, under Prof. David I. Stuart and Dr. Robert Esnouf's guidance. At the same year, I received my master degree in Statistics at Stanford University and continued my research on biostatistics/bioinformatics in Prof. Wing H. Wong's Lab. Our current research interests focus on the following areas:

Collaborators

Currently, we have very close ongoing collobrations with:

Latest publication


Human tRNA synthetase catalytic nulls with diverse functions.
Lo, W.S., Gardiner E., Xu, Z., Lau C.F., Wang, F., Zhou, J.J., Mendlein, J.D., Nangle, L.A., Chiang, K.P., Yang, X.L., Au, Kin Fai, Wong, W.H., Guo, M., Zhang, M., Schimmel, P.
Science. 2014 Jul 18. 345 (6194), 328-32 [Manuscript]


ALS-associated mutation FUS-R521C causes DNA damage and RNA splicing defects
Qiu H., Lee S., Shang Y., Wang W.Y., Au, Kin Fai, Kamiya S., Barmada S.J., Finkbeiner S., Lui H., Carlton C.E., Tang A.A., Oldham M.C., Wang H., Shorter J., Filiano A.J., Roberson E.D., Tourtellotte W.G., Chen B., Tsai L.H., Huang E.J.
The Journal of clinical investigation. 2014 Feb 10. 124 (3), 0-0 [Manuscript]


Characterization of the human ESC transcriptome by hybrid sequencing
Au, Kin Fai, Sebastiano V., Afshar P.T., Durruthy J.D., Lee L., Williams B.A., Bakel H.V., Schadt E., Pera R.A.R., Underwood J., Wong W.H.
Proc. Natl. Acad. Sci. USA 2013 110 (50) E4821-E4830 [Manuscript]


Oct4-Sall4-Nanog network controls developmental progression in the preimplantation mouse embryo
Tan, M.H.*, Au, Kin Fai*, Leong, D.E., Foygel. K., Wong, W.H., Yao, M.W.M.
Molecular Systems Biology. 2013. 9:632. [Manuscript]
* These authors contributed equally to this work


Improving PacBio long read accuracy by short read alignment.
Au, Kin Fai, Underwood, J., Lee, L., Wong, W.H.
PLoS ONE 2012. 7(10): e46679. doi:10.1371/journal.pone.0046679 [Manuscript]


RNA sequencing reveals diverse and dynamic repertoire of the Xenopus tropicalis transcriptome over development.
Tan, M.H.*, Au, Kin Fai*, Yablonovitch, A.L.*, Wills, A.E., Baker J.C., Wong, W.H., Li, J.B.
Genome Research, 2012. doi:10.1101/gr.141424.112 [Manuscript]
* These authors contributed equally to this work


Activation of Innate Immunity is Required for Efficient Nuclear Reprogramming
Lee, J., Sayed, N., Hunter, A., Au, Kin Fai, Wong, W.H., Mocarski, E., Pera, R.R., Yakubov, E., Cooke, J.P.
Cell, 2012 Oct; 151(3): 547-58. [Manuscript]


Detection of splice junctions from paired-end RNA-seq data by SpliceMap
Au, Kin Fai, Jiang, H., Lin, L., Xing, Y., Wong, W.H.
Nucleic Acids Research, Aug;38(14):4570-8. 2010. [Manuscript]

Latest News

04-24-2014 - IDP 0.1.2 minor update is released

This minor update fixes several bugs.

04-17-2014 - IDP 0.1.1 minor update is released

This minor update fixes several bugs fixes to and is accompanied by a convenient, small-sized, test dataset available in the tutorial.

12-01-2013: Faster and much less memory-required LSC 1.alpha is released

In the LSC 0.3.0 or 0.3.1, we optimized the setting of bowtie2 and BWA to get much more short read alignment, which improve the the accuracy of error correction a lot/ However, the increase of alignments also requires much more running time (on both alignment and the following error correction step) and memory usage. Therefore, a few users met difficulty of running LSC 0.3.0 or 0.3.1.

In LSC 1.alpha, we apply probabilistic algorithm ("SCD" option) to select ""enough" short read alignment for error correction. LSC 1.alpha does NOT sacrifice the error correction performace (sensitivity and specificity). Please see http://www.healthcare.uiowa.edu/labs/au/LSC/LSC_manual.html#aligner Thus, we save running time and memory usage significantly. The running time is 30-50% of LSC 0.3.1. The peak memory usage decreases to ~10G regardless of the data size.

New features:

Miscellaneous changes:

If you want to see the manual and tutorial of the old LSC (before 1.alpha), we keep the links of its the Old manual and Old tutorial in the right side bar.

11-26-2013 - IDP 0.1 and the manual and a tutorial are released

IDP integrates short reads (e.g. Illumina data) and long reads (e.g. PacBio data) to identify gene isoforms (transcripts) from transcriptome (see Figure above).

11-26-2013: Hompage of hESC transcriptome identified by SpliceMap-LSC-IDP pipline is released.

The homepage of hESC transcriptome (H1 cell line) is released. You can also find novel genes, novel isoforms of existing genes (including pluripency markers) and novel ncRNA in this website:
http://www.healthcare.uiowa.edu/labs/au/IDP/hESC.html

The details of this hESC transcriptome can be in our publication: Characterization of the human ESC transcriptome by hybrid sequencing [preprint]

11-26-2013: IDP and hESC transcriptome paper is released

Kin Fai Au, Vittorio Sebastiano, Pegah Tootoonchi Afshar, Jens Durruthy Durruthy, Lawrence Lee, Brian A. Williams, Honoratus Van Bakel, Eric Schadt, Renee A. Reijo Pera, Jason Underwood, Wing Hung Wong
Characterization of the human ESC transcriptome by hybrid sequencing [preprint]
In press

09-30-2013: More robust and faster LSC 0.3.1

In LSC 0.3.1, we don't have pseudo chromosome, the alignment time reduced to ~10% (in Bowtie2 mode). And you can re-run some crashed jobs easily now.

New features:

Miscellaneous changes:

08-07-2013: Big changes in LSC 0.3

In LSC 0.3, we have a few updates. They are very IMPORTANT updates, new features and small fixes

Very IMPORTANT updates:

New features

Small bug fixed