Sökning: "structure alignment"

Visar resultat 1 - 5 av 169 avhandlingar innehållade orden structure alignment.

1. 1. Information Technology Alignment : The Role of Organisational Structure

   Författare :Gideon Mekonnen Jonathan; Lazar Rusu; Erik Perjons; Björn Johansson; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer and Systems Sciences; data- och systemvetenskap; informationssystem; Information Systems;

   Sammanfattning : Information technology (IT) alignment studies which focus on conceptual debates have left little room for studies investigating practical issues such as organisational structure. On the other hand, the attention paid to private and commercial organisations has resulted in findings that might not apply to public organisations. LÄS MER

3. 2. Structural Information and Hidden Markov Models for Biological Sequence Analysis

   Författare :Jeanette Tångrot; Bo Kågström; Uwe H. Sauer; Erik Sonnhammer; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; HMM; structure alignment; protein structure; secondary structure; remote homologue; annotation; domain family; protein family; protein superfamily; protein fold recognition; Bioinformatics; Bioinformatik;

   Sammanfattning : Bioinformatics is a fast-developing field, which makes use of computational methods to analyse and structure biological data. An important branch of bioinformatics is structure and function prediction of proteins, which is often based on finding relationships to already characterized proteins. LÄS MER

4. 3. Information Technology Alignment in Public Organisations : Towards Successful Digital Transformation

   Författare :Gideon Mekonnen Jonathan; Lazar Rusu; Erik Perjons; Björn Johansson; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Digital Transformation; IT Alignment; Organisational Structure; Public Organisations; Public Value; data- och systemvetenskap; Computer and Systems Sciences;

   Sammanfattning : The widespread acceptance of digital transformation has brought the topic to the top of researchers’ and practitioners’ agendas. However, despite the anticipated benefits and opportunities, evidence suggests that many organisations still struggle to realise the results of successful digital transformation. LÄS MER

5. 4. Improving IT Integration for Higher Education Institutional Performance : Towards a Contextualised IT-Institutional Alignment Model

   Författare :Jean Claude Byungura; Henrik Hansson; Ulf Olsson; Masengesho Kamuzinzi; Jimmy Jaldemark; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; IT integration; IT alignment; Alignment practices; Design science research; Innovation diffusion; Technology adoption; Institutional performance; Higher education; Artefact Evaluation; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : The integration of information technology (IT) into service delivery is currently seen as an innovative strategy to support the modernising of universities worldwide. However, in some institutions in developing countries, including Rwanda, IT has failed to add the intended value to university services, despite huge associated investments in IT. LÄS MER

7. 5. Retroviral long Terminal Repeats; Structure, Detection and Phylogeny

   Författare :Farid Benachenhou; Jonas Blomberg; Göran Sperber; Aris Katzourakis; Uppsala universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Retrovirus; long terminal repeats; hidden Markov models; phylogeny; alignment; conserved motif; stem-loop; Clinical virology; Klinisk virologi; Klinisk virologi; Clinical Virology;

   Sammanfattning : Long terminal repeats (LTRs) are non-coding repeats flanking the protein-coding genes of LTR retrotransposons. The variability of LTRs poses a challenge in studying them. Hidden Markov models (HMMs), probabilistic models widely used in pattern recognition, are useful in dealing with this variability. LÄS MER