Our paper entitled “An ultra-fast and scalable quantification pipeline for transposable elements from next generation sequencing data” has been accepted by Pacific Symposium on Biocomputing (PSB) 2018, and the proceeding
We are excited to announce that our MARRVEL paper is featured as one of the best papers of AJHG in late 2016 and early 2017! The AJHG journal selects best
Ayush’s paper on batch detection is out now! Congrats Ayush! Detecting hidden batch factors through data adaptive adjustment for biological effects DASC, the batch detection tool is available in Bioconductor: https://bioconductor.org/packages/devel/bioc/html/DASC.html Abstract
CRISPRcloud: A secure cloud-based pipeline for CRISPR pooled screen deconvolution Hyun-Hwan Jeong, Seon Young Kim, Maxime WC Rousseaux, Huda Y Zoghbi, Zhandong Liu We present a user-friendly, cloud-based, data analysis
MARRVEL: Integration of Human and Model Organism Genetic Resources to Facilitate Functional Annotation of the Human Genome Julia Wang*, Rami Al-Ouran*, Yanhui Hu*, Seon-Young Kim*, Ying-Wooi Wan, Michael F. Wangler,
Disruption of the ATXN1-CIC complex causes a spectrum of neurobehavioral phenotypes in mice and humans.
Three grants totaling $2,634,668 were awarded to Individual Investigator Research Awards for Computational Biology. Our group is fortunate to be funded by CPRIT for our work on “Development and Validation of
Hari developed a new tool to discover non-canonical splicing events in RNA-seq: http://www.liuzlab.org/CrypSplice/
Copy number variations have been frequently associated with developmental delay, intellectual disability and autism spectrum disorders. MECP2 duplication syndrome is one of the most common genomic rearrangements in males and
Post-transcriptional regulation of SHANK3 expression by microRNAs related to multiple neuropsychiatric disorders. Our study provides new insight into the miRNA-mediated regulation of SHANK3 expression, and its potential implication in multiple neuropsychiatric disorders
Congratulations to Kanchana to be selected as the semis-finalist of The Siemens Competition in Math, Science & Technology. Great job.
Congrats to Kanchana Raja for getting a first place award from the American Statistical Society and third place award in the Computer Science division.
Congratulations to Kanchana Raja for winning a first place award from the American Statistical Society and third place award in the Computer Science division in Houston Science Fair. Kanchana a
Congrats to Andrew Laitman for getting the NLM training fellowship!!!
Our project on Viral MicroRNAs in Ovarian Cancer Growth and Metastasis is funded through CPRIT.
Congratulations to Ying-Wooi Wan. Her collaborative work with Dr. Bellen’s lab was accepted by Cell.
A grant from hearing health foundation has been awarded to us in collaboration with the Groves lab to study the hair cell regeneration.
NATURE METHODS | RESEARCH HIGHLIGHTS | METHODS IN BRIEF GENOMICS miRNA profiling depends on platform Nature Methods 11, 369 (2014) doi:10.1038/nmeth.2905 Published online 28 March 2014 Wan, Y.-W. et al. PLoS One 9, e87782
Our study on the Cancer Genome Atlas (TCGA) project was noted by genome web.com http://www.genomeweb.com/sequencing/last-weeks-clinical-sequencing-papers-note-13
Tools produce different answers in microRNA profiles When researchers at Baylor College of Medicine (www.bcm.edu) sought to mine The Cancer Genome Atlas for information on the effects of small bits
Our study on the reproducibility between miRNA microarray and sequencing technology was published in PLOS ONE [PDF]. This study found that large percentage of miRNAs demonstrated poor correlation between the
Kaifang’s paper on combinatorial drug therapy through mixed integer linear programming was accepted for publication in Bioinformatics as an original research article.
Welcome to Denise who has now formally joined our group as a postdoctoral fellow!
Congratulations to Andrew for passing his qulification exam.
We just got two collaborative awards with Sardiello and Mirjana Maletic-Savatic lab. These two grants will enable us to generate a strong set of preliminary data for our future grants.