database.bio is reference software for interpreting human variations.
A human genome contains about 3 billion nucleotides. It is estimated that any two individuals . . .
L3 is a young and energetic company where IT talents, renowned professors and top-notch industrial partners like BGI work together to invent and develop the future computing technologies for bioinformatics.
It's never easy to develop state-of-the-art technology which advances genomics analysis. We need biologists who understand the bleeding edge problems in genomics analysis. We need experts who knows how to design advanced algorithms to cope with the problems. We need seasoned IT engineers who know how to put together the right computing architecture for the designed solutions. And perhaps the hardest of all, we need a team of all above-mentioned, who can work together.
L3 is such a team.
We build and deliver bioinformatic solutions
for institutions of all shapes and sizes.
We are a bioinformatics solution provider specializing in the following areas:
Our customer base includes NGS service providers, hospitals, pharmaceutical companies and academic research institutions.
To become the leading bioinformatics solution provider in
Hong Kong and Mainland China, offering IT solutions (including but not limited
to algorithms, application software and infrastructure) and NGS analysis
services.
To provide its customers with frontier
technologies to advance the application of genomics in their services, business
or research.
Together with its customers, L3 will enhance the world’s understanding of life and lift up people’s health.
database.bio is reference software for interpreting human variations.
A human genome contains about 3 billion nucleotides. It is estimated that any two individuals have up to 0.4% difference in their genomes, which is equal to around 12 million base pairs. Variations in these base pairs account for all the differences between the two individuals, from their hair color to their health, and chances to get a particular disease. For researchers, identifying the relevant variations from DNA sequencing data is like looking for a needle in a haystack.
database.bio helps clinical practitioners and researchers in genetic diseases to quickly analyze sequencing data and identify the causal variants. database.bio combines state-of-the-art analytical tools and integrated content, and can drill down to a small, targeted subset of compelling variants based upon published biological evidence and one’s own knowledge of disease biology.
BALSA is an integrated solution for the secondary analysis of next generation sequencing data; it exploits the computational power of GPU and an intricate memory management to give a fast and accurate analysis. From raw reads to variants (including SNPs and Indels), BALSA, using just a single computing node with a commodity GPU board, takes 5.5 h to process 50-fold whole genome sequencing (750 million 100 bp paired-end reads), or just 25 min for 210-fold whole exome sequencing. BALSA’s speed is rooted at its parallel algorithms to effectively exploit a GPU to speed up processes like alignment, realignment and statistical testing. BALSA incorporates a 16-genotype model to support the calling of SNPs and Indels and achieves competitive variant calling accuracy and sensitivity when compared to the ensemble of six popular variant callers. BALSA also supports efficient identification of somatic SNVs and CNVs; experiments showed that BALSA recovers all the previously validated somatic SNVs and CNVs, and it is more sensitive for somatic Indel detection. BALSA outputs variants in VCF format. A pileup-like SNAPSHOT format, while maintaining the same fidelity as BAM in variant calling, enables efficient storage and indexing, and facilitates the App development of downstream analyses. BALSA is published in PeerJ with DOI 10.7717/peerj.421, with a 60 pages user manual. BALSA 1.0’s execution binary is available here.
General requirements:
Currently, we have multiple openings for Scientific Staff, Software Engineers and User Experience Designers.
Should you be interested please send your CV to
recruit@L3-Bioinfo.com
Should you be interested please send your CV to
recruit@L3-Bioinfo.com
Should you be interested please send your CV to
recruit@L3-Bioinfo.com
13, 21/F, Hong Kong Plaza, 188 Connaught Road West, Hong Kong
Email: info@L3-bioinfo.com
Phone: +852 3583 4920
Fax: +852 3583 4921