01. Turn Up the Sound
02. Like
03. Much Too Much?
04. Ave Maria
05. Promises?
06. After
07. What It's Like
08. Forget Your Face??
09. Find Your Way
10. You Once Told Me
11. Taken Away
12. Summer Calling
13. Beautiful Things (Gabriel & Dresden's Unplugged Mix)
14. Promises (KOAN Sound Remix)
15. Promises (Jaytech Remix)
16. Much Too Much (Zetandel Chill Remix)
17. Much Too Much (Rido Remix)
18. Turn Up the Sound (Gabriel & Dresden Remix)
19. Turn Up the Sound (Stratus Remix)
?Video
??"Promises"
??"Much Too Much"?
??"Turn Up the Sound"
All songs written and produced by Josh Gabriel and Mavie Marcos.
Additional writing by Dave Dresden on tracks 1?3, 5?9, and 11, 13 David Penner on tracks 4, 5 and 10, 12, 13
さらにJosh Gabriel自らがGabriel & Dresden名義で発表した"Bloom"に収録した、AndainとしてカヴァーしたDepeche Modeの"Here is the House (Gabriel & Dresden Remix)"がリスナーから好評価を獲得。今は幻となりつつある超名リミックスだが、Andainは確実にクラブ・レジェンドへのステップを踏みながらファン層を広げつつあった、だが、その珠玉のリミックスの題材となった『原曲』への評価については、いや、その存在すら、あまり顧みられて来なかったのだと思う。
"You Once Told Me"は、表題曲も含め過去にお蔵入りとなったアルバムから数曲をサルベージして大幅にリメイクを行っているものの、大部分は新曲が占める"Reboot"された作品であり、同時にAndainとしての特徴である、耳に残るメロディセンス、ヴォーカル・コラージュ、遊び心に溢れたパーカッション・プログラミング、そして可憐なパフォーマンスには不釣り合いと言えるほどの、ロックスタイルに通じる骨太なベースラインは、Andainが未だ無二の存在感を放つカリスマであることを如実に代弁している。
"Ave Maria"からは原曲にあった合唱サンプリングは省かれてしまったものの、"You Once Told Me"と双璧を為すスタイリッシュなエレクトロ・ヴォーカル作品として息を吹き返しており、当世風のサウンド・コンストラクションによって、よりクールな輪郭を引き締めている。
"Promises"、及び"Taken Away"で聴かれる自作オルゴールの音色や、"Turn Up The Sound"のラーガ調のイントロからパーカス、2000年代同期の北欧Trip Hopを彷彿とさせる"Like"、ニューエイジ色の強い頃のMylène Farmerもかくや、と思わせる"Fordet Your Face"などの変化球にも富んでいる。
このアルバムにも、ボーナストラックとしてシーンの主要DJたちが素晴らしいリミックスを提供している。"Turn up the Sound (Gabriel & Dresden)"の終盤におけるビート・プログラミングは、"Here is the House"のそれの印象を喚起する懐かしささえあり、このようなリミックスワークに素晴らしい『素材』を提供するAndainとクラブシーンの関係性は、それ自体がシーンから産み落とされたものであるという点において、あたかもリ・プロダクションの入れ子構造を、プロダクトそのもので体現しているようにも見える。
ともあれ、"You Once Told Me"は、往時のTrip Hopの薫り漂うセンチメンタルな気色に溢れた作品であり、Mavie Marcosの湿った感傷性と、Josh Gabrielの乾いた情緒という正反対の要素が、この上なく見事に配合された会心の一作と言えよう。切ない恋心や凛とした心情を謳った、脆いようで芯の通ったセピアのアルバム。胸を締め付ける秋の夜長に、隣に添えておきたい一枚となりそうだ。
You once told me I wouldn't know it enough
Well, let me tell you something Yeah, I do
You once told me I wouldn't feel it enough
Well, let me tell you Baby, I do
Sometimes I find myself in a scene in a dream that's so far away
Sometimes ah, Tell me what's happened to me
Sometimes I see myself falling
Well I don't show it much
Sometimes I'm crazy for you
Well, maybe I'm fine And tell me you're mine but
Tell me, baby, can you hold me now?
You don't have to say it-I feel it, too
maybe I'm falling well maybe but I don't show it much
Tell me, baby can you see me now
and Show me baby
that I don't know how and how
Can I start to see inside the fall but
ECCB'12 - the European Conference on Computational Biology - is the key European computational biology event in 2012 uniting scientists working in a broad range of disciplines, including bioinformatics, computational biology, biology, medicine, and systems biology. ECCB'12 will take place 9.-12. September 2012 at the Congress Center Basel, Switzerland.
Participation at ECCB'12 will be the prime opportunity to learn about cutting-edge research in computational biology and bioinformatics and to network with other members of our community. ECCB'12 will be organized in association with the 10th [BC]2 Basel Computational Biology conference - the annual scientific symposium of the SIB Swiss Institute of Bioinformatics.
The co-evolution signals provide sufficient information to determine accurate 3D protein structure to 2.7?4.8 Å Cα-RMSD error relative to the observed structure, over at least two-thirds of the protein (method called EVfold, details at http://EVfold.org). This discovery provides insight into essential interactions constraining protein evolution and will facilitate a comprehensive survey of the universe of protein structures, new strategies in protein and drug design, and the identification of functional genetic variants in normal and disease genomes.
Evolutionary Constraints:
Calculate correlated amino acid changes in protein families across evolution.
Use evolutionary couplings as distance constraints to predict 3D structure.
@razoralign Yeah, it's a great method. Be sure to see the sine qua non underlying contact predictor too: "Direct-coupling analysis of residue coevolution captures native contacts across many protein families." http://www.ncbi.nlm.nih.gov/pubmed/22106262
BioXSD has been developed to fill the niche of missing canonical XML schema-based exchange format for basic bioinformatics data: sequences, alignments, features, references to resources, and identifiers. The canonical format can either be consumed and produced by tools directly, or serve as an intermediate format that the other formats can losslessly be serialized to and from.
The main goal of NGS-Logis,cs is to deliver processed NGS data to end users. We offer several modules, which each cover one aspect of analysis, either towards research or diagnos,cs. Complexity of algorithms, queries and data structure are covered by a user-friendly web based interface. The structure of NGS-Logis,cs is designed to cover any type of samples. With NGS- Logis,cs you can easily define a data set, assign samples to that data set and make it accessible to authorized researchers.
□ GigaScience:
Edouard Pauwels next on identifying chemogenomic features from drug-target interaction networks (with a focus on interpretability) #eccb12
a versatile, general methodology for the simulation and analysis of FRET in nucleic acids, and demonstrate its particular power for modelling FRET between probes possessing limited diffusional and rotational freedom, such as our recently developed nucleobase analogue FRET pairs (base?base FRET).
These probes are positioned inside the DNA/RNA structures as a replacement for one of the natural bases, thus, providing unique control of their position and orientation and the advantage of reporting from inside sites of interest. In demonstration studies, not requiring molecular dynamics modelling, we obtain previously inaccessible insight into the orientation and nanosecond dynamics of the bases inside double-stranded DNA, and we reconstruct high resolution 3D structures of kinked DNA. The reported methodology is accompanied by a freely available software package, FRETmatrix, for the design and analysis of FRET in nucleic acid containing systems.
This is a Request for Quote (RFQ). This procurement is conducted unrestricted with full and open competition, open to both large and small businesses. The associated North American Industry Classification System (NAICS) code for the procurement is 541380 and the Small Business size standard is $12.0 Million.
The US Army Corps of Engineers, Engineer Research and Development Center Contracting Office, has a requirement for contractor support to assess the chemical stress effects of munitions constituents (MCs) and intensive munitions (IMs) on global gene expression networks in highly sensitive Leopard Frog tadpoles of the species Rana pipien.
□ caseybergman:
Many parallels btwn. computational biologists & "data scientists" (http://bit.ly/Pr05qI ) >> #bioinformatics is good training for "sexy" jobs
□ BiologyOpen:
BiO has passed the scientific and technical evaluation stages for inclusion in PMC and PubMed. Contracts to sign... http://fb.me/29y8AjCL0
□ Efficient experimental design and analysis strategies: DESeq algorithm performs more conservatively than edgeR & NBPSeq
□ TrendsCognSci:
Do you think that probabilistic, Bayesian, and optimal computation are synonyms? If yes, you must read this TiCS review http://bit.ly/RQjZO8
Probability has played a central role in models of perception for more than a century, but a look at probabilistic concepts in the literature raises many questions. Is being Bayesian the same as being optimal? Are recent Bayesian models fundamentally different from classic signal detection theory models? Do findings of near-optimal inference provide evidence that neurons compute with probability distributions? This review aims to disentangle these concepts and to classify empirical evidence accordingly.
□ A comprehensive comparison of RNA-Seq-based transcriptome analysis from reads to differential gene expression and cross-comparison with microarrays: a case study in Saccharomyces cerevisiae
Here, we asses the influence of genetic variation on the estimation of gene expression level using three different aligners for read-mapping (Gsnap, Stampy and TopHat) on S288c genome, the capabilities of five different statistical methods to detect differential gene expression (baySeq, Cuffdiff, DESeq, edgeR and NOISeq) and we explored the consistency between RNA-seq analysis using reference genome and de novo assembly approach. High reproducibility among biological replicates (correlation ?0.99) and high consistency between the two platforms for analysis of gene expression levels (correlation ?0.91) are reported.
Our models are implemented in a computer simulation pipeline called the Flux Simulator, and we show that read distributions generated by different combinations of these models reproduce well corresponding evidence obtained from the corresponding experimental setups. We further demonstrate that our in silico RNA-Seq provides insights about hidden precursors that determine the final configuration of reads along gene bodies
The ENCODE Project has this week released the results of its massive foray into exploring the function of the non-protein-coding regions of the human genome. This is a tremendous scientific achievement, and is receiving plenty of well-deserved press coverage; for particularly thorough summaries see Ed Yong’s excellent post at Discover and Brendan Maher at Nature.
Ewan Birney of EMBL-EBI, Tim Hubbard of the Wellcome Trust Sanger Institute and Roderic Guigo of CRG talk about ENCODE, an international project which revealed that much of what has been called 'junk DNA' in the human genome is actually a massive control panel with millions of switches regulating the activity of our genes.
ENCODE（Encyclopedia of DNA Elements；DNAエレメントの百科事典）計画は、ヒトゲノム中にコードされているすべての機能エレメントについて記述することを目的とするものである。ENCODEが開始されてから9年が経ち、その主な成果は今回30本の共同研究論文として発表されて、計画は完結した。
□ appistry:
ENCODE project global collaboration that wrangled more than 15 TB of genetic data from 32 labs globally http://goo.gl/frKcx #bigdata
Big data and DNA: What business can learn from junk genes
Through our experience in performing ChIP-seq experiments, the ENCODE and modENCODE consortia have developed a set of working standards and guidelines for ChIP experiments that are updated routinely. The current guidelines address antibody validation, experimental replication, sequencing depth, data and metadata reporting, and data quality assessment. We discuss how ChIP quality, assessed in these ways, affects different uses of ChIP-seq data. All data sets used in the analysis have been deposited for public viewing and downloading at the ENCODE (http://encodeproject.org/ENCODE/) and modENCODE (http://www.modencode.org/) portals.
Two functional annotation methods for clustered gene groups including biological pathways and GO terms were employed in this study. A biological pathway is one of the most meaningful clustering representations for biological function analysis.
Another functional annotation method often applied to describe gene products is Gene Ontology (GO). The GO is a set of structured vocabularies defined by Gene Ontology Consortium [10], which is aimed to provide a universal standard of functional annotation for gene products.
□ neilfws:
Prokaryotes do it too: CRISPR, an RNA-based adaptive immune system in UniProt release 2012_08 http://bit.ly/NdkUaw
The new Genomics Laboratory is a central hub for global molecular DNA work for all Hendrix Genetics divisions, and is already producing new innovations in breeding.
Blood and tissue samples are taken from the pig, poultry and aquaculture divisions, and also from customers' stocks. Samples are then transported to the laboratory, where DNA is extracted and stored in a BioBank.
After in-house analysis and genotyping, geneticists use these to develop breeding programmes.
In this review, we address these issues through a discussion of the size and character of boreal forest soil C pool, its role in ecosystem function, the potential impacts of climate change on soil C, efforts to model these processes and the role of soil C in boreal resilience to the impacts of climate change. Soil C is fundamental to ecosystem function in terms of improving soil physical properties, increasing soil biotic activity and enhancing insulation all of which improve site productivity.
Genome Abundance Similarity Correction (GASiC), a method to estimate true genome abundances via read alignment by considering reference genome similarities in a non-negative LASSO approach. We demonstrate GASiC’s superior performance over existing methods on simulated benchmark data as well as on real data. In addition, we present applications to datasets of both bacterial DNA and viral RNA source. We further discuss our approach as an alternative to PCR-based DNA quantification.
The proposed HGF shares similar end goals like the SWAN but are more holistic in nature and was designed and implemented using scalable and efficient computational models of disease-disease interaction. The integration of mapping ontologies with latent semantic analysis is critical in capturing domain specific direct and indirect “crisp” associations, and making assertions about entities (such as disease X is associated with a set of factors Z).
Isis Pharmaceuticals, Inc. (NASDAQ: ISIS) announced today the publication of two papers in the journal Cell demonstrating that single-stranded short interfering RNA (ss-siRNA) molecules distributed broadly, activated the RNA interference (RNAi) pathway and reduced
