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Collaborative Ventures

ArrayGen > Company > Collaborative Ventures

ArrayGen has partnered with two expertise from The United States. They have been included in the team at ArrayGen in order to gain an improvement in their services. We plan to build sustainable services and offer the customer an improved service every time they opt for it.

  Dr.Kishori Konwar
Researcher at MIT

Dr. Kishori Konwar, a computer scientist has been working on developing cutting edge bigdata technology by collaborating with help from well reputed workforce at the Computer Science and Artificial Intelligence Lab at MIT. He has been the author to more than 50 international peer-reviewed research papers. His work has also been expanding to computational metagenomics. Some of the bioinformatics tools developed by Dr. Konwar are used in several research projects funded by US Department of Energy. Dr.Konwar's work so far has been included in the design and develop team at MetaPathways software, which works on pipeline for processing metagenomics samples sequenced through next generation sequencing machines.

Combining his passion and ability to solve problems with ArrayGen's capabilities, we aim for developments and innovations in the field of computational sector of genomics.


1."MetaPathways v2.5: quantitative functional,Taxonomic and usability improvements", Kishori M. Konwar, Niels W. Hanson, Maya P. Bhatia, DongjaeKim,Shang-Ju Wu, Aria S. Hahn, Connor Morgan-Lang,HiuKan Cheungand Steven J. Hallam.

2."FragGeneScan-Plus for scalable high-throughput short-read open reading frame prediction" ,Dongjae Kim Aria S. Hahn, Shang-Ju WuNiels W. Hanson, Kishori M. Konwar and Steven J. Hallam ,Department of Computer Science, Department of Microbiology, Graduate Program in Bioinformatics, University of British Columbia, Vancouver, Canada.

3."Expanding the boundaries of local similarity analysis",W Evan Durno, Niels W Hanson, Kishori M Konwar, Steven J Hallam.

4."Metabolic pathways for the whole community",Niels W Hanson1, Kishori M Konwar, Alyse K Hawley, Tomer Altman, Peter D Karpand Steven J Hallam

5."MetaPathways: a modular pipeline for constructing pathway/genome databases from environmental sequence information", Kishori M Konwar, Niels W Hanson, Antoine P and Steven J Hallam.

6."Microbial ecology of expanding oxygen minimum zones", Jody J. Wright, Kishori M. Konwarand Steven J. Hallam.

7."Assembly independent functional annotation of short-read data using SOFA: Short-ORF Functional Annotation", Aria S. Hahn, Niels W. Hanson, Dongjae Kim Kishori M. Konwarand Steven J. Hallam, Department of Microbiology, Graduate Program in Bioinformatics, Department of Computer Science, University of British Columbia, Vancouver, Canada.

  Neil Baruwati
Co-founder Luit Software Pvt. Ltd.

Neil Baruwati is an applied mathematician with masters from BITS Pilani in the software system and an MSc in applied mathematics. He has played a diverse role in the business analytics and mathematical modelling. His main focus has been writing software that applies optimization and simulation to real world business problems, such as disaster response, inventory management, manufacturing operations, and commodity transportation, bioinformatics domain. He is involved in software development, mathematical modeling and assisting on patent applications and research papers, to helping market solutions and capabilities to new clients. He uses a variety of software tools and languages, such as C and C++, Java, SQL, CPLEX, SPSS, SAS and Matlab.

With his expertise in the field of algorithm development and business analysis along with our resources, we aim to make an innovative mark in bioinformatics.

Services Provided by Luit Software Pvt. Ltd.

G-POT: Multiplex-PCR Primer Set Selection G-POT is a software package for selecting a minimum set of primers needed to amplify a set of loci through Multiplex Polymerase Chain Reaction. The tool is based on the "potential function" greedy algorithm developed by the authors. G-POT can be downloaded from here. The C code is released under the GNU General Public License.

A-BAR: Distinguisher Selection for Robust DNA Barcoding DNA-BAR is a software package for selecting DNA probes that can be used in genomic-based identification of microorganisms. Given the genomic sequences of the microorganisms, DNA-BAR finds a near-minimum number of distinguishes. DNA-BAR can be used online through the web interface provided here. The open source C code, released under the GNU General Public License, is also available at the above address.

Metapathway Metapathway modular software pipeline for integrated analysis of environmental metagenomics samples. The software performs a series of popular analyses for taxonomic profiling and functional potential with limited data handling, allowing researchers to spend their time analyzing their data instead of performing complicated data transformations

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