A hidden Markov model for predicting transmembrane helices in protein sequences.
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This map shows the geographic impact of A hidden Markov model for predicting transmembrane helices in protein sequences.. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A hidden Markov model for predicting transmembrane helices in protein sequences. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A hidden Markov model for predicting transmembrane helices in protein sequences. more than expected).
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This network shows the impact of A hidden Markov model for predicting transmembrane helices in protein sequences.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A hidden Markov model for predicting transmembrane helices in protein sequences..
About A hidden Markov model for predicting transmembrane helices in protein sequences.
This paper, published in 1998, received 2.1k indexed citations . Written by Erik L. L. Sonnhammer, Gunnar von Heijne and Anders Krogh covering the research area of Molecular Biology. It is primarily cited by scholars working on Molecular Biology (1.3k citations), Plant Science (378 citations) and Genetics (274 citations). Published in PubMed.
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This paper is also available at doi.org/w41706348.