Showing papers by "Naveen Kumar published in 2007"
TL;DR: It is observed that even after controlling for the effects of GC and average intron lengths, the effect of repeats albeit somewhat weaker was persistent and definite, and suggest that negative selection of (TG/CA)(n>or=12) microsatellites in the evolution of the highly expressed genes was also controlled by gene function in addition to intron length.
Abstract: High and broad transcription of eukaryotic genes is facilitated by cost minimization, clustered localization in the genome, elevated G+C content, and low nucleosome formation potential. In this sce...
27 citations
Journal Article•
TL;DR: In this paper, a two-stage formulation process (esterfication followed by transesterification) to convert industrial grade rice bran oil into biodiesel, physio-chemical characterization of biodiesel and run a small capacity, single cylinder, direct injection diesel engine on biodiesel.
Abstract: Biodiesel is gaining momentum in India and rice bran oil (RBO) could be utilized as a possible source of biodiesel. Since industrial grade RBO has high FFA content, base catalyzed transesterification process is not an appropriate method for production of biodiesel. This study reports two-stage formulation process (esterfication followed by transesterification) to convert industrial grade RBO into biodiesel, physio-chemical characterization of biodiesel and run a small capacity, single cylinder, direct injection diesel engine on biodiesel .The performance and emission results of biodiesel are compared with diesel.
12 citations
TL;DR: This work has prepared ARC (Automated Resource Classifier), which is an open source software meeting the user requirements of flexibility, and built the keyword library of ARC, which was built serially by first drawing keywords from Bacillus subtilis and Escherichia coli K12.
Abstract: Functional classification of proteins is central to comparative genomics. The need for algorithms tuned to enable integrative interpretation of analytical data is felt globally. The availability of a general, automated software with built-in flexibility will significantly aid this activity. We have prepared ARC (Automated Resource Classifier), which is an open source software meeting the user requirements of flexibility. The default classification scheme based on keyword match is agglomerative and directs entries into any of the 7 basic non-overlapping functional classes: Cell wall, Cell membrane and Transporters (C), Cell division (
), Information (I), Translocation (
$$
\mathcal{L}
$$
), Metabolism (
), Stress (
), Signal and communication(S) and 2 ancillary classes: Others (O) and Hypothetical (
). The keyword library of ARC was built serially by first drawing keywords from Bacillus subtilis and Escherichia coli K12. In subsequent steps, this library was further enriched by collecting terms from archaeal representative Archaeoglobus fulgidus, Gene Ontology, and Gene Symbols. ARC is 94.04% successful on 6,75,663 annotated proteins from 348 prokaryotes. Three examples are provided to illuminate the current perspectives on mycobacterial physiology and costs of proteins in 333 prokaryotes. ARC is available at .