Results 301 to 310 of about 3,711,584 (360)

Chromatin Topology Reconfiguration Orchestrates Thermotolerant Male Fertility via GhAL5 in Cotton

Advanced Science, EarlyView.
This study investigates cotton’s high‐temperature (HT) response using multi‑omics. Dynamic 3D genome changes drive expression bias affecting male fertility. The tolerant line shows controlled chromatin dynamics, while the sensitive line exhibits overactivation.
Yanlong Li, Jing Yang, Weiran Wang, Chunyang Zuo, Liuling Pei, Yizan Ma, Rui Zhang, Yaru Fan, Huanhuan Ma, Yawei Li, Ruizhen Liu, Shuangxia Jin, Longfu Zhu, Jie Kong, Xianlong Zhang, Ling Min   +15 more
wiley   +1 more source

Finite-discrete element numerical modeling on shield tunnel face stability undercrossing existing pipeline considering discontinuous contact. [PDF]

Sci Rep
Liu Y, Lei H, Huang H, Li Q.
europepmc   +1 more source

MTBseq-nf: Enabling Scalable Tuberculosis Genomics "Big Data" Analysis Through a User-Friendly Nextflow Wrapper for MTBseq Pipeline. [PDF]

Microorganisms
Sharma A, Marcon DJ, Loubser J, Lima KVB, van der Spuy G, Conceição EC.   +5 more
europepmc   +1 more source

ViMOP: a user-friendly and field-applicable pipeline for untargeted viral genome nanopore sequencing. [PDF]

Bioinformatics
Petersen NP, Le M, Renevey A, Emua E, Ryter S, Annibaldis G, Camara J, Boumbaly S, Erameh C, Laske T, Baumbach J, Lemey P, Günther S, Duraffour S, Kafetzopoulou LE.   +14 more
europepmc   +1 more source

Fully automated on-scanner aortic four-dimensional flow magnetic resonance imaging processing and hemodynamic analysis. [PDF]

J Cardiovasc Magn Reson
Baraboo J, Scott M, Berhane H, Markl M, Jin N, Chow K.   +5 more
europepmc   +1 more source

plmmr: an R package to fit penalized linear mixed models for genome-wide association data with complex correlation structure. [PDF]

Brief Bioinform
Peter TK, Reisetter AC, Lu Y, Rysavy OA, Breheny PJ.   +4 more
europepmc   +1 more source

Software pipelining of non-vectorizable loosely nested loops

, 1991
Kichang Kim, Alexandru Nicolau
openalex   +1 more source

KG2ML: integrating knowledge graphs and positive unlabeled learning for identifying disease-associated genes. [PDF]

Front Bioinform
Kumar P, Metzger VT, Purushotham ST, Kedia P, Bologa CG, Lambert CG, Yang JJ.   +6 more
europepmc   +1 more source