Nat Methods. 2019 Oct 21. doi: 10.1038/s41592-019-0598-1. [Epub ahead of print]Unified rational protein engineering with sequence-based deep representation learning.Alley EC1,2, Khimulya G, Biswas S1,3, AlQuraishi M4, Church GM5,6.Author information1Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.2MIT Media Laboratory, Cambridge, MA, US..
Nat Rev Genet. 2019 Sep 12. doi: 10.1038/s41576-019-0166-7. [Epub ahead of print]Next-generation computational tools for interrogating cancer immunity.Finotello F1, Rieder D1, Hackl H1, Trajanoski Z2.Author information1Biocenter, Institute of Bioinformatics, Medical University of Innsbruck, Innsbruck, Austria.2Biocenter, Institute of Bioinformatics, Medical University of Innsbr..
Brief Bioinform. 2019 Feb 28. pii: bbz018. doi: 10.1093/bib/bbz018. [Epub ahead of print]CAFU: a Galaxy framework for exploring unmapped RNA-Seq data.Chen S1, Ren C1, Zhai J1, Yu J2, Zhao X2, Li Z1, Zhang T1, Ma W1, Han Z1, Ma C1.Author information1State Key Laboratory of Crop Stress Biology for Arid Areas, Center of Bioinformatics, College of Life Sciences, Northwest Agricultu..
Over the past decade, RNA sequencing (RNA-seq) has become an indispensable tool for transcriptome-wide analysis of differential gene expression and differential splicing of mRNAs. However, as next-generation sequencing technologies have developed, so too has RNA-seq. Now, RNA-seq methods are available for studying many different aspects of RNA biology, including single-cell gen..
Bioinformatics. 2018 Sep 1;34(17):i802-i810. doi: 10.1093/bioinformatics/bty573.Predicting protein-protein interactions through sequence-based deep learning.Hashemifar S1, Neyshabur B1, Khan AA1, Xu J1.Author information1Toyota Technological Institute at Chicago, Chicago, IL, USA.AbstractMOTIVATION:High-throughput experimental techniques have produced a large amount of protein-..
The recent rapid spread of single cell RNA sequencing (scRNA-seq) methods has created a large variety of experimental and computational pipelines for which best practices have not been established, yet. Here, researchers from the Ludwig-Maximilians University use simulations based on five scRNA-seq library protocols in combination with nine realistic differential expression (DE..
A comprehensive analysis of RNA-Seq data uses a wide range of different tools and algorithms, which are normally limited to R users only. While several tools and advanced analysis pipelines are available, some require programming skills and others lack the support for many important features that enable a more comprehensive data analysis. There is thus, a need for a guided and ..
[출처] https://www.ibric.org/myboard/read.php?Board=report&id=3277 저자박상민 (KAIST 바이오및뇌공학과)등록일2019.07.16자료번호BRIC VIEW 2019-R17579 KB조회 1683 요약문유전체학(genomics), 전사체학(transcriptomics), 단백질체학(proteomics), 대사체학(metabolomics)과 같은 오믹스(omics) 기술의 발전은 매우 상세한 분자 수..
Next-generation sequencing technologies can produce tens of millions of reads, often paired-end, from transcripts or genomes. But few programs can align RNA on the genome and accurately discover introns, especially with long reads. NIH researchers introduce Magic-BLAST, a new aligner based on ideas from the Magic pipeline. Magic-BLAST uses innovative techniques that include the..
[출처] https://www.ibric.org/myboard/read.php?Board=report&id=3278 인간의 전사 인자저자공정렬 (KAIST 바이오및뇌공학과)등록일2019.07.18자료번호BRIC VIEW 2019-R18 594 KB 조회 67 요약문전사인자(TF, transcription factor)는 특정 DNA 서열을 인식하여 염색질(chromatin)과 전사를 제어하고 유전자의 발현을 유도하는 복..