Cantitate/Preț
Produs
Total produse
Vezi coșul
Advances in Bioinformatics and Computational Biology: 11th Brazilian Symposium on Bioinformatics, BSB 2018, Niterói, Brazil, October 30 – November 1, 2018, Proceedings de Ronnie Alves

Advances in Bioinformatics and Computational Biology: 11th Brazilian Symposium on Bioinformatics, BSB 2018, Niterói, Brazil, October 30 – November 1, 2018, Proceedings: Lecture Notes in Computer Science, cartea 11228

Editat de Ronnie Alves
en Limba Engleză Paperback – 2 oct 2018
This book constitutes the refereed proceedings of the 11th Brazilian Symposium on Bioinformatics, BSB 2018, held in Rio de Janeiro, Brazil, in October/November 2018. The 13 revised full papers presented were carefully reviewed and selected from 26 submissions. The papers cover all aspects of bioinformatics and computational biology.
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 38025 lei

Nou

Puncte Express: 570
Preț estimativ în valută:
7276€ • 7617$ • 6020£

Carte tipărită la comandă

Livrare economică 05-19 aprilie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030017217
ISBN-10: 3030017214
Pagini: 153
Ilustrații: XII, 147 p. 43 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.23 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Bioinformatics

Locul publicării:Cham, Switzerland

Cuprins

Sorting λ-Permutations by λ-Operations.- Super Short Reversals on Both Gene Order and Intergenic Sizes.- Identifying Maximal Perfect Haplotype Blocks.- Sorting by Weighted Reversals and Transpositions.- Graph databases in Molecular Biology.- ViMT - Development of a Web-based Vivarium Management Tool.- An argumentation theory-based multiagent model to annotate proteins.- AutoModel: a client-server tool for intuitive and interactive homology modeling of protein-ligand complexes.- Detecting Acute Lymphoblastic Leukemia in Down Syndrome Patients using Convolutional Neural Networks on Preprocessed Mutated Datasets.- S2FS: Single score feature selection applied to the problem of distinguishing long non-coding RNAs from protein coding transcripts.- A Genetic Algorithm for Character State Live Phylogeny.- A workflow for predicting microRNAs targets via accessibility in Flavivirus genomes.- Parallel solution based on collective communication operations for phylogenetic bootstrapping in PhyML 3.0.