117 research outputs found

    LKS Asam Basa Berbasis Pendekatan Ilmiah Dalam Meningkatkan KPS Berdasarkan Kognitif Siswa

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    This research aimed to describe the effectiveness of scientific approach based student worksheets in improving science process skills (SPS) insight from student\u27s cognitive. The method of this research was quasi experimental with 2x2 factorial design. The population of this research was all students of XI IPA SMAN 15 Bandarlampung on 2016/2017. The sample were XI IPA-4 and the XI IPA 2 which taken by purposive sampling. The data of this study were analyzed by using two ways ANOVA test and t test. The result of this research was no interaction between learning with scientific approach based worksheets and cognitive on SPS; learning process using student worksheets scientific approach was effective to improve SPS; SPS high and low cognitive ability with learning using worksheets Scientific Approach wass higher than conventional worksheets; SPS high cognitive ability was higher than low cognitive ability with learning using worksheets scientific approach. Penelitian ini bertujuan mendeskripsikan efektivitas LKS pendekatan ilmiah dalam meningkatkan KPS berdasarkan kognitif siswa. Metode penelitian menggunakan kuasi eksperimen dengan desain faktorial 2x2. Populasi penelitian seluruh siswa kelas XI IPA di SMAN 15 Bandarlampung tahun 2016/2017. Sampel penelitian ini kelas XI IPA 4 dan kelas XI IPA 2 yang diambil dengan teknik purposive sampling. Data penelitian dianalisis menggunakan uji two ways ANOVA dan uji t. Hasil penelitian menunjukan tidak terdapat interaksi antara pembelajaran menggunakan LKS terhadap KPS berdasarkan kemampuan kognitif, pembelajaran menggunakan LKS pendekatan ilmiah efektif untuk meningkatkan KPS, KPS siswa kognitif tinggi dan rendah dengan pembelajaran menggunakan LKS pendekatan ilmiah lebih tinggi dibandingkan LKS konvensional, KPS siswa kognitif tinggi lebih tinggi dibandingkan KPS siswa kognitif rendah menggunakan LKS pendekatan ilmiah

    ProteoModlR for functional proteomic analysis

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    BACKGROUND: High-accuracy mass spectrometry enables near comprehensive quantification of the components of the cellular proteomes, increasingly including their chemically modified variants. Likewise, large-scale libraries of quantified synthetic peptides are becoming available, enabling absolute quantification of chemically modified proteoforms, and therefore systems-level analyses of changes of their absolute abundance and stoichiometry. Existing computational methods provide advanced tools for mass spectral analysis and statistical inference, but lack integrated functions for quantitative analysis of post-translationally modified proteins and their modification stoichiometry. RESULTS: Here, we develop ProteoModlR, a program for quantitative analysis of abundance and stoichiometry of post-translational chemical modifications across temporal and steady-state biological states. While ProteoModlR is intended for the analysis of experiments using isotopically labeled reference peptides for absolute quantitation, it also supports the analysis of labeled and label-free data, acquired in both data-dependent and data-independent modes for relative quantitation. Moreover, ProteoModlR enables functional analysis of sparsely sampled quantitative mass spectrometry experiments by inferring the missing values from the available measurements, without imputation. The implemented architecture includes parsing and normalization functions to control for common sources of technical variation. Finally, ProteoModlR’s modular design and interchangeable format are optimally suited for integration with existing computational proteomics tools, thereby facilitating comprehensive quantitative analysis of cellular signaling. CONCLUSIONS: ProteoModlR and its documentation are available for download at http://github.com/kentsisresearchgroup/ProteoModlR as a stand-alone R package. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-017-1563-6) contains supplementary material, which is available to authorized users

    Genomic instability promoted by expression of human transposase-derived gene

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    DNA Transposases are enzymes that recognize and catalyze the movement of mobile elements in the human genome known as transposons. There are abundant transposase-derived genes in the human genome that have been conserved through evolution. Some of them, such as PGBD5, maintain their enzymatic activity in human cells. The expression of PGBD5 has been related to mobilization of DNA transposons through a motif specific cut and paste mechanism across the genome. The excision and insertion mechanism of transposable elements can cause genomic rearrangements and have a potential mutagenic activity in specific disease cases such as cancer. In this study, we analyze how the expression of PGBD5 leads to genomic instabilit
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