1.基因分析

--Using standard microbiome reference groups to simplify beta-diversity analyses and facilitate independent validation

使用標準微生物組參考組來簡化β多樣性分析並促進獨立驗證

--Grouper: graph-based clustering and annotation for improved de novo transcriptome analysis

Grouper：基於圖形的聚類和註釋，用於改進從頭轉錄組分析

--Modeling one thousand intron length distributions with fitild

使用fitild建模一千個內含子長度分布

2.序列分析

--In silico read normalization using set multi-cover optimization

使用集合多覆蓋優化的計算機讀取規範化

--PBRpredict-Suite: a suite of models to predict peptide-recognition domain residues from protein sequence

PBRpredict-Suite：一套預測蛋白質序列中肽識別結構域殘基的模型

--LZW-Kernel: fast kernel utilizing variable length code blocks from LZW compressors for protein sequence classification

LZW-Kernel：利用LZW壓縮機的可變長度代碼塊進行蛋白質序列分類的快速內核

3.結構生物信息學

--GapRepairer: a server to model a structural gap and validate it using topological analysis

GapRepairer：用於建模結構間隙並使用拓撲分析對其進行驗證的服務器

--High precision in protein contact prediction using fully convolutional neural networks and minimal sequence features

使用完全卷積神經網絡和最小序列特征進行蛋白質接觸預測的高精度

--Applying graph theory to protein structures: an Atlas of coiled coils

將圖論應用於蛋白質結構：卷曲螺旋圖譜

--MICAN-SQ: a sequential protein structure alignment program that is applicable to monomers and all types of oligomers

MICAN-SQ：順序蛋白質結構比對程序，適用於單體和所有類型的低聚物

4.基因表達

--RWEN: response-weighted elastic net for prediction of chemosensitivity of cancer cell lines

RWEN：響應加權彈性網，用於預測癌細胞系的化學敏感性

--Two-phase differential expression analysis for single cell RNA-seq

單細胞RNA-seq的兩階段差異表達分析

--Bayesian negative binomial regression for differential expression with confounding factors

具有混雜因子的差異表達的貝葉斯負二項式回歸

5.系統生物學

--Prediction of lncRNA–disease associations based on inductive matrix completion

基於歸納矩陣完成的lncRNA-疾病關聯預測

Boinformatics-2018-10-1-目錄