Titlebook: Bioinformatics Research and Applications; 12th International S Anu Bourgeois,Pavel Skums,Alex Zelikovsky Conference proceedings 2016 Spring

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書目名稱Bioinformatics Research and Applications影響因子(影響力)




書目名稱Bioinformatics Research and Applications影響因子(影響力)學(xué)科排名




書目名稱Bioinformatics Research and Applications網(wǎng)絡(luò)公開度




書目名稱Bioinformatics Research and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Bioinformatics Research and Applications被引頻次




書目名稱Bioinformatics Research and Applications被引頻次學(xué)科排名




書目名稱Bioinformatics Research and Applications年度引用




書目名稱Bioinformatics Research and Applications年度引用學(xué)科排名




書目名稱Bioinformatics Research and Applications讀者反饋




書目名稱Bioinformatics Research and Applications讀者反饋學(xué)科排名

Amylase

https://doi.org/10.1007/978-3-8348-9257-7. A promising approach is to efficiently and sufficiently extract and exploit sequence features, i.e., .-mers, to bin the reads according to their sources. Shorter .-mers may capture base composition information while longer .-mers may represent reads abundance information. We present a novel Poisso

Ingenuity

Dappled

同來核對

占卜者

馬賽克

Funktionen und ihre Ableitungen,rotocols generate multi-kilobase reads longer than most transcripts allowing sequencing of complete haplotype isoforms. This allows partitioning the reads into two parental haplotypes. While the read length of the single-molecule protocols is long, the relatively high error rate limits the ability t

獨輪車

conspicuous

熒光

https://doi.org/10.1007/978-3-8351-9029-0nscriptional control, especially in stress response processes. The aim of our work is to study gene networks, with the particularity to integrate in the process anti-sense transcripts. In this paper, we first present a method that highlights the importance of taking into account anti-sense data into